Triple
T9817553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering, University of Southampton |
E238446
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Southampton |
E17684
|
NE FINISHED |
How this triple was built (2 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: Southampton | Statement: [School of Engineering, University of Southampton, locatedIn, Southampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southampton Context triple: [School of Engineering, University of Southampton, locatedIn, Southampton]
-
A.
Southampton
chosen
Southampton is a major port city on England’s south coast, historically significant for its maritime trade, shipbuilding, and role as a departure point for transatlantic voyages.
-
B.
Southampton
Southampton is a wealthy town and popular seaside resort community on the South Fork of Long Island, New York, known for its beaches, historic villages, and part of the Hamptons.
-
C.
Bristol
Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
-
D.
Bristol
Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
-
E.
Bristol
Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f5bfa481908a2d2cb3f3d7d585 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc2ca7a081908f597e9a58920d6e |
completed | April 5, 2026, 2:42 a.m. |
Created at: March 30, 2026, 8:30 p.m.