Triple
T21586783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Greymouth |
E532670
|
entity |
| Predicate | historicalPrimaryIndustryServed |
P10778
|
FINISHED |
| Object | coal 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: coal industry | Statement: [Port of Greymouth, historicalPrimaryIndustryServed, coal industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPrimaryIndustryServed Context triple: [Port of Greymouth, historicalPrimaryIndustryServed, coal industry]
-
A.
hasHistoricIndustry
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
B.
historicallyServedBy
Indicates that an entity was provided with services or support by another entity during a past period of time.
-
C.
formerKeyIndustry
Indicates that an entity was once a primary or strategically important industry for another entity but no longer holds that status.
-
D.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
E.
historicalHolderOccupation
Indicates that an entity historically held a particular occupation or professional role.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb6137fc8190840b7c1275e62a1d |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:31 p.m.