Triple
T2738016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anguilla |
E60676
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | The Valley |
E294024
|
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: The Valley | Statement: [Anguilla, largestSettlement, The Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Valley Context triple: [Anguilla, largestSettlement, The Valley]
-
A.
The Valley
chosen
The Valley is the small administrative and commercial center of the Caribbean island territory of Anguilla.
-
B.
Heart of the Valley
Heart of the Valley is a nickname for Corvallis, Oregon, reflecting its central location in the fertile Willamette Valley.
-
C.
The Ravine
The Ravine is a secluded, woodland gorge in Central Park featuring winding paths, a stream, and rustic bridges that evoke a natural forest landscape.
-
D.
Struggle in the Valley
Struggle in the Valley is a classic 1954 Egyptian drama film starring Faten Hamama and Omar Sharif, known for its romantic storyline and its role in launching Sharif’s film career.
-
E.
The Town
The Town is a 2010 crime thriller film directed by and starring Ben Affleck, centered on a crew of Boston bank robbers and the personal and moral conflicts that arise after one of them falls for a former hostage.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc607d88190bc35ce56ac26dbf9 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.