Triple
T6423375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princes Risborough |
E127997
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Thame |
E35624
|
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: Thame | Statement: [Princes Risborough, near, Thame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thame Context triple: [Princes Risborough, near, Thame]
-
A.
Thame
chosen
Thame is a historic market town in Oxfordshire, England, known for its traditional architecture and vibrant local community.
-
B.
Phuthi
Phuthi is a Bantu language closely related to the Sotho–Tswana group, spoken primarily by the Phuthi people in parts of Lesotho and South Africa.
-
C.
Hathawekela
Hathawekela is a historic division of the Shawnee people, recognized as one of their traditional tribal bands.
-
D.
Gavinana
Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
-
E.
Talanga
Talanga is a town and municipality in central Honduras known for its agricultural activities and location along the highway connecting Tegucigalpa with the country's northern regions.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06906eea88190a445c1ff1169c2b1 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640dc01188190b67290801aae0d6c |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:43 p.m.