Triple
T28026789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldwych tube station |
E708144
|
entity |
| Predicate | hasShortWorkingServiceHistory |
P172127
|
FINISHED |
| Object | shuttle service to Holborn |
—
|
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: shuttle service to Holborn | Statement: [Aldwych tube station, hasShortWorkingServiceHistory, shuttle service to Holborn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortWorkingServiceHistory Context triple: [Aldwych tube station, hasShortWorkingServiceHistory, shuttle service to Holborn]
-
A.
hasMajorEmployerHistory
Indicates that an entity has a documented history of employment with a major or significant employer.
-
B.
hasTimePeriodOfService
Indicates that an entity is associated with a specific span of time during which it provided service or was actively serving.
-
C.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
D.
shortenedInService
Indicates that an entity’s length, duration, or extent has been reduced as a result of its use or operation in service.
-
E.
hasCareerService
Indicates that an entity provides or is associated with a career-related support or advisory service for another entity.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8de0b948190ae333e9cd99cbf6c |
completed | May 3, 2026, 1:46 a.m. |
Created at: April 27, 2026, 8:13 p.m.