Triple
T33815611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Acton |
E866662
|
entity |
| Predicate | inLondonTravelZone |
P177734
|
FINISHED |
| Object | 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: 3 | Statement: [West Acton, inLondonTravelZone, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inLondonTravelZone Context triple: [West Acton, inLondonTravelZone, 3]
-
A.
interchangeAtLondon
Indicates that an interchange or transfer occurs at London between different routes, services, or modes of transport.
-
B.
servesCentralLondon
Indicates that something provides service or access specifically to the Central London area.
-
C.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
D.
locatedInBritishCountry
Indicates that one entity is geographically or administratively situated within a country that is part of the United Kingdom.
-
E.
LondonStar
Indicates that something or someone is recognized as a prominent or leading figure associated with 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:46 a.m.