Triple
T12835752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houghton |
E306906
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Orange Grove |
E877403
|
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: Orange Grove | Statement: [Houghton, adjacentTo, Orange Grove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange Grove Context triple: [Houghton, adjacentTo, Orange Grove]
-
A.
Orange Grove
Orange Grove is a historic public square in the city of Bath, England, known for its Georgian architecture and proximity to major landmarks like Bath Abbey.
-
B.
Orange Grove
chosen
Orange Grove is a residential suburb of Johannesburg, South Africa, known for its historic homes, busy main road, and proximity to the city center.
-
C.
Oak Grove
Oak Grove is a small city in southwestern Kentucky, known for its proximity to the Fort Campbell military base and its largely residential, military-affiliated community.
-
D.
Arbor Heights
Arbor Heights is a primarily residential neighborhood located in the southwestern part of Seattle, Washington.
-
E.
Oakwood
Oakwood is a small village located in Clay County, Missouri, within the Kansas City metropolitan area.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edaa6288190a775f6e852fa941b |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:35 p.m.