Triple
T29132968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chipping Norton textile industry |
E738427
|
entity |
| Predicate | notableMill |
P22
|
FINISHED |
| Object | Bliss Tweed Mill |
E201424
|
NE 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: Bliss Tweed Mill | Statement: [Chipping Norton textile industry, notableMill, Bliss Tweed Mill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMill Context triple: [Chipping Norton textile industry, notableMill, Bliss Tweed Mill]
-
A.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
-
B.
notableListing
Indicates that an entity is prominently featured or recognized in a particular listing, directory, or catalog.
-
C.
notableGiant
Indicates that an entity is recognized as a giant of particular note, standing out for its exceptional size, influence, or significance relative to others of its kind.
-
D.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
notableQuarry
Indicates that an entity is a quarry that is particularly significant, well-known, or noteworthy in some context.
- F. None of above.
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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a0303622ce08190b359c9d247268729 |
completed | May 12, 2026, 10:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2550588e308190b0375f1b9a4f7f82 |
completed | June 7, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_6a03030c02fc81908e546dba291b1240 |
completed | May 12, 2026, 10:38 a.m. |
Created at: April 28, 2026, 11:32 a.m.