Triple
T4826916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thames Ironworks F.C. |
E107846
|
entity |
| Predicate | industrialAffiliation |
P19086
|
FINISHED |
| Object | shipbuilding industry |
—
|
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: shipbuilding industry | Statement: [Thames Ironworks F.C., industrialAffiliation, shipbuilding industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialAffiliation Context triple: [Thames Ironworks F.C., industrialAffiliation, shipbuilding industry]
-
A.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
-
B.
inventorAffiliation
Indicates that an inventor is or was affiliated with a particular organization, institution, or entity in the context of their inventive work.
-
C.
isPartOfIndustry
chosen
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
D.
administrativeAffiliation
Indicates that one entity is formally connected to, governed by, or overseen by another entity within an administrative or organizational structure.
-
E.
cityIndustryAssociation
Indicates an associative relationship between a city and an industry, such as the industry being present, active, or economically significant in that city.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.