Triple
T35288307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Oil Platform A |
E1019150
|
entity |
| Predicate | spillEffect |
P183184
|
FINISHED |
| Object | economic losses to local fishing and tourism industries |
—
|
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: economic losses to local fishing and tourism industries | Statement: [Union Oil Platform A, spillEffect, economic losses to local fishing and tourism industries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spillEffect Context triple: [Union Oil Platform A, spillEffect, economic losses to local fishing and tourism industries]
-
A.
spillType
Indicates the specific category or nature of a spill involved in the relationship or event.
-
B.
spillwayFunction
Indicates the role or operation of a spillway in controlling and safely releasing excess water from a reservoir or dam.
-
C.
spillLocation
Indicates the place or area where a spill occurs or is present.
-
D.
isSpilledBy
Indicates that a substance or item becomes spilled as a result of an action performed by a particular agent or cause.
-
E.
hasSpinEffect
Indicates that one entity causes or exhibits a spinning or rotational effect on another entity.
- F. None of above. chosen
Provenance (4 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 3, 2026, 4:03 p.m.