Triple
T8664267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Huelva |
E205625
|
entity |
| Predicate | hasAssociatedIndustry |
P53279
|
FINISHED |
| Object | chemical 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: chemical industry | Statement: [Port of Huelva, hasAssociatedIndustry, chemical industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedIndustry Context triple: [Port of Huelva, hasAssociatedIndustry, chemical industry]
-
A.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
B.
containsIndustry
chosen
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
C.
hasFoundingIndustryAssociation
Indicates that an entity is associated with an industry organization that played a role in its founding or establishment.
-
D.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
E.
hasCustomerIndustry
Indicates that a customer is associated with or operates within a particular industry or sector.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc489f7edc8190bde1b4dc09249207 |
completed | March 31, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:30 p.m.