Triple
T34793776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSGB36 |
E1003013
|
entity |
| Predicate | localFit |
P181478
|
FINISHED |
| Object | optimized for Great Britain landmass |
—
|
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: optimized for Great Britain landmass | Statement: [OSGB36, localFit, optimized for Great Britain landmass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localFit Context triple: [OSGB36, localFit, optimized for Great Britain landmass]
-
A.
localFactorAt
Indicates a relationship where a specific factor or influence is associated with, or applies at, a particular local point, position, or context.
-
B.
localModelFor
chosen
Indicates that one entity serves as a localized or context-specific version or instance of another, more general model.
-
C.
localityCondition
Indicates a spatial or contextual constraint specifying where or under what local conditions a relationship, event, or property holds.
-
D.
localSymmetry
Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
-
E.
localBehavior
Indicates that a behavior or effect is determined primarily by nearby or immediate context rather than by distant or global factors.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 3:59 p.m.