Triple
T3179863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kew |
E66556
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Kew Green |
E71780
|
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: Kew Green | Statement: [Kew, hasGreenSpace, Kew Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kew Green Context triple: [Kew, hasGreenSpace, Kew Green]
-
A.
Kew Green
chosen
Kew Green is a historic open common and village green in the London district of Kew, known for its surrounding period buildings and proximity to major cultural institutions.
-
B.
Kew Gardens Hills
Kew Gardens Hills is a Queens, New York City neighborhood known for its large Bukharan Jewish community and vibrant mix of Orthodox Jewish life and diverse immigrant populations.
-
C.
Esher Green
Esher Green is a historic village green and open space in Esher, Surrey, known for its picturesque setting and local recreational use.
-
D.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
E.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69f2d108190847922795e7b6687 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e81e6f98819099317f97f0c7f546 |
completed | March 12, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:06 p.m.