Triple
T9120873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Crooks |
E218844
|
entity |
| Predicate | placeOfActivity |
P1527
|
FINISHED |
| Object | Poplar |
E481680
|
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: Poplar | Statement: [Will Crooks, placeOfActivity, Poplar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poplar Context triple: [Will Crooks, placeOfActivity, Poplar]
-
A.
Poplar
chosen
Poplar is a historic district in the East End of London known for its docklands heritage, post-war social housing, and proximity to Canary Wharf.
-
B.
Poplar
Poplar is a small rural community located within the township of Central Manitoulin in Ontario, Canada.
-
C.
Davie Poplar
Davie Poplar is a historic, centuries-old tulip poplar tree on the campus of the University of North Carolina at Chapel Hill and a well-known campus symbol and gathering spot.
-
D.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
E.
Beech
Beech is a small rural village and civil parish in East Hampshire, England, known for its wooded surroundings and residential character.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b32ba88190b2b4406c7b905cca |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030867d248190ad5b5ba3047426bb |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.