Triple
T15531182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Miguel Bay |
E370219
|
entity |
| Predicate | hasManagementIssue |
P119043
|
FINISHED |
| Object | conflict between small-scale and commercial fishers |
—
|
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: conflict between small-scale and commercial fishers | Statement: [San Miguel Bay, hasManagementIssue, conflict between small-scale and commercial fishers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManagementIssue Context triple: [San Miguel Bay, hasManagementIssue, conflict between small-scale and commercial fishers]
-
A.
hasSharedManagementIssue
Indicates that two or more entities are affected by the same management-related problem or concern.
-
B.
hasManagementConcern
Indicates that one entity has responsibility, authority, or involvement in overseeing, directing, or managing another entity or activity.
-
C.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
D.
hasIssueWith
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
E.
hasRecentIssue
Indicates that an entity is associated with an issue or problem that has occurred within a recent or specified time frame.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:06 a.m.