Triple
T36174050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulham Gardens |
E1046526
|
entity |
| Predicate | distanceToCoast_km |
P15760
|
FINISHED |
| Object | approximately 3 |
—
|
LITERAL 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: approximately 3 | Statement: [Fulham Gardens, distanceToCoast_km, approximately 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCoast_km Context triple: [Fulham Gardens, distanceToCoast_km, approximately 3]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
hasMaximumDistanceFromCoast
Indicates that an entity is located at the greatest possible distance from any coastline within a specified area or context.
-
C.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
D.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
E.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
- F. None of above.
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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.