Triple
T2130270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidcup |
E46520
|
entity |
| Predicate | distanceToCharingCross |
P35331
|
FINISHED |
| Object | approximately 11 miles |
—
|
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 11 miles | Statement: [Sidcup, distanceToCharingCross, approximately 11 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCharingCross Context triple: [Sidcup, distanceToCharingCross, approximately 11 miles]
-
A.
directionFromCharingCross
Indicates the compass direction of one place or object as measured from Charing Cross.
-
B.
distanceFromParisCenter
Indicates the measured distance between a given location and the central point of Paris.
-
C.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
D.
directionFromCityCentre
Indicates the compass direction in which one location lies relative to the city centre.
-
E.
distanceFromFord’sTheatre
Indicates the spatial distance between an entity and Ford’s Theatre.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb895d11881908345032595a679ba |
completed | March 7, 2026, 5:33 a.m. |
Created at: March 4, 2026, 7:44 p.m.