Triple
T7310791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gol Gol |
E168084
|
entity |
| Predicate | distanceToWentworth |
P76232
|
FINISHED |
| Object | approximately 20 km west |
—
|
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 20 km west | Statement: [Gol Gol, distanceToWentworth, approximately 20 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWentworth Context triple: [Gol Gol, distanceToWentworth, approximately 20 km west]
-
A.
distanceToWorcester
Indicates the measured distance between a given entity’s location and the city of Worcester.
-
B.
distanceToOswestry
Indicates the spatial distance between a given entity and the location of Oswestry.
-
C.
distanceToWinchester
Indicates the spatial distance between a given entity and the location identified as Winchester.
-
D.
distanceToWhitchurch
Indicates the spatial distance between a given entity and the location named Whitchurch.
-
E.
distanceToWakefield
Indicates the measured or calculated distance between a given entity’s location and the location of Wakefield.
- F. None of above. chosen
Provenance (4 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebff866081909916796d1b72aee8 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 3:02 p.m.