Triple
T12346875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Wemyss |
E294377
|
entity |
| Predicate | hasPrimaryEconomicActivityInPast |
P19843
|
FINISHED |
| Object | coal export via harbour |
—
|
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 export via harbour | Statement: [West Wemyss, hasPrimaryEconomicActivityInPast, coal export via harbour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEconomicActivityInPast Context triple: [West Wemyss, hasPrimaryEconomicActivityInPast, coal export via harbour]
-
A.
formerEconomicActivity
chosen
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
-
B.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
C.
hasEconomicActivityLevel
Indicates the degree or intensity of economic activity associated with an entity, such as its level of production, trade, or financial transactions.
-
D.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
E.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.