Triple
T1619043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lymm |
E34787
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
LYMM
LYMM is a village and civil parish in Warrington, Cheshire, England, known for its historic centre, canal, and scenic surroundings.
|
E183209
|
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: LYMM | Statement: [Lymm, hasPostTown, LYMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LYMM Context triple: [Lymm, hasPostTown, LYMM]
-
A.
LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
-
B.
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.
-
C.
LLY
LLY is the stock ticker symbol for Eli Lilly and Company, a major American pharmaceutical firm known for developing and manufacturing prescription medicines.
-
D.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
-
E.
YMML
YMML is the ICAO airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
- 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: LYMM Triple: [Lymm, hasPostTown, LYMM]
Generated description
LYMM is a village and civil parish in Warrington, Cheshire, England, known for its historic centre, canal, and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LYMM Target entity description: LYMM is a village and civil parish in Warrington, Cheshire, England, known for its historic centre, canal, and scenic surroundings.
-
A.
LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
-
B.
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.
-
C.
LLY
LLY is the stock ticker symbol for Eli Lilly and Company, a major American pharmaceutical firm known for developing and manufacturing prescription medicines.
-
D.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
-
E.
YMML
YMML is the ICAO airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909aef1b881909ef90dbc833a82a3 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51cf7b7c8190847ab6795fb5613b |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad52dee83c819080b58e67dcd7bb2b |
completed | March 8, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad534ab0d88190acaa8a5e66fcb0d6 |
completed | March 8, 2026, 10:45 a.m. |
Created at: March 4, 2026, 7:28 p.m.