Triple
T26060205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westcliff railway station |
E657237
|
entity |
| Predicate | directionFromLondonFenchurchStreet |
P167738
|
FINISHED |
| Object | east |
—
|
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: east | Statement: [Westcliff railway station, directionFromLondonFenchurchStreet, east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromLondonFenchurchStreet Context triple: [Westcliff railway station, directionFromLondonFenchurchStreet, east]
-
A.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
B.
directionFromLondonKingsCross
Indicates the direction or bearing of a location when traveling from London King's Cross.
-
C.
directionFromBlackfriarsBridge
Indicates the directional relationship of one location or object as measured starting from Blackfriars Bridge.
-
D.
directionFromManchesterCityCentre
Indicates the compass direction in which one location lies when measured outward from Manchester city centre.
-
E.
londonTerminusStreet
Indicates that a street serves as a terminus (end point) for transport routes in London.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 26, 2026, 7:16 p.m.