Triple
T17625869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A10 motorway |
E429840
|
entity |
| Predicate | partOfEuropeanRoute |
P6309
|
FINISHED |
| Object |
E5
E5 is a major north–south European route that forms part of the international E-road network, connecting the United Kingdom with Spain via France.
|
E1279240
|
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: E5 | Statement: [A10 motorway, partOfEuropeanRoute, E5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E5 Context triple: [A10 motorway, partOfEuropeanRoute, E5]
-
A.
E5
E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
-
B.
E50
E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
-
C.
E52
E52 is a Nokia Eseries mobile phone model known for its slim design, long battery life, and business-oriented features.
-
D.
E4
E4 is a British digital television channel from Channel 4, known for airing popular entertainment, comedy, and drama series aimed primarily at younger audiences.
-
E.
E4
E4 is a major European route and highway running through Sweden, forming a key north–south transport corridor.
- 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: E5 Triple: [A10 motorway, partOfEuropeanRoute, E5]
Generated description
E5 is a major north–south European route that forms part of the international E-road network, connecting the United Kingdom with Spain via France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E5 Target entity description: E5 is a major north–south European route that forms part of the international E-road network, connecting the United Kingdom with Spain via France.
-
A.
E5
E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
-
B.
E50
E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
-
C.
E52
E52 is a Nokia Eseries mobile phone model known for its slim design, long battery life, and business-oriented features.
-
D.
E4
E4 is a major European route and highway running through Sweden, forming a key north–south transport corridor.
-
E.
E4
E4 is a British digital television channel from Channel 4, known for airing popular entertainment, comedy, and drama series aimed primarily at younger audiences.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbc62e88190b9757dc7c52d7fee |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a991e6881909ce905419e645a6a |
completed | May 11, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_6a020c10d1bc81909b0f04337df36be8 |
completed | May 11, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020cefce4c8190a92f543533e4b801 |
completed | May 11, 2026, 5:08 p.m. |
Created at: April 10, 2026, 5:52 a.m.