Triple
T9934323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Liberal Youth |
E192721
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LYMEC
LYMEC is the European Liberal Youth organization, a pan-European political youth movement representing liberal and centrist young people across Europe.
|
E831164
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LYMEC | Statement: [European Liberal Youth, shortName, LYMEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LYMEC Context triple: [European Liberal Youth, shortName, LYMEC]
-
A.
LYMM
LYMM is a village and civil parish in Warrington, Cheshire, England, known for its historic centre, canal, and scenic surroundings.
-
B.
Lemery
Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
-
C.
LEMD
LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
D.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
-
E.
Lys
Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LYMEC Triple: [European Liberal Youth, shortName, LYMEC]
Generated description
LYMEC is the European Liberal Youth organization, a pan-European political youth movement representing liberal and centrist young people across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LYMEC Target entity description: LYMEC is the European Liberal Youth organization, a pan-European political youth movement representing liberal and centrist young people across Europe.
-
A.
LYMM
LYMM is a village and civil parish in Warrington, Cheshire, England, known for its historic centre, canal, and scenic surroundings.
-
B.
Lemery
Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
-
C.
LEMD
LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
D.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
-
E.
Lys
Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b89c808190a2e766025dd53bd5 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228ddecfc8190850a098bf4074cc3 |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22cc9284c8190be92710f37877846 |
completed | April 5, 2026, 9:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22d2997ec81909cb1267ab0066cd5 |
completed | April 5, 2026, 9:36 a.m. |
Created at: March 30, 2026, 8:44 p.m.