Triple
T37520299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JEQ |
E932751
|
entity |
| Predicate | hasFullStationName |
P184916
|
FINISHED |
| Object | Jewellery Quarter railway station |
—
|
NE NERFINISHED |
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: Jewellery Quarter railway station | Statement: [JEQ, hasFullStationName, Jewellery Quarter railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullStationName Context triple: [JEQ, hasFullStationName, Jewellery Quarter railway station]
-
A.
hasFullOfficialName
chosen
Indicates that an entity is associated with its complete, formally recognized official name.
-
B.
hasStationNameElement
Indicates that a station is associated with a specific name component or element used as part of its full station name.
-
C.
hasSuccessorStationName
Indicates that one station is immediately followed by another station, whose name is given as the successor station name.
-
D.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
E.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
- F. None of above.
Provenance (3 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.