Triple
T3119143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Settle |
E65136
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | SETTLE |
E65136
|
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: SETTLE | Statement: [Settle, hasPostTown, SETTLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SETTLE Context triple: [Settle, hasPostTown, SETTLE]
-
A.
Settle
chosen
Settle is a small market town in North Yorkshire, England, known as a gateway to the Yorkshire Dales and the scenic Settle–Carlisle railway.
-
B.
Fifth Settlement
Fifth Settlement is an affluent residential and commercial district in New Cairo, Egypt, known for its modern urban planning, gated communities, and upscale amenities.
-
C.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
D.
Springett
Springett is an English surname most notably associated with Gulielma Maria Springett and historically linked to Quaker and gentry families in England.
-
E.
Tarifit
Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e975f08190a91a01f37a31b766 |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f63f8f881909348d4c6eb3c7e20 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.