Triple
T28707758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Itliong |
E729741
|
entity |
| Predicate | ethnicCommunityOrganized |
P123241
|
FINISHED |
| Object | Filipino farm workers |
—
|
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: Filipino farm workers | Statement: [Larry Itliong, ethnicCommunityOrganized, Filipino farm workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCommunityOrganized Context triple: [Larry Itliong, ethnicCommunityOrganized, Filipino farm workers]
-
A.
ethnicCommunityAssociation
chosen
Indicates a relationship where an entity is associated with, belongs to, or is involved in an ethnic community organization or group.
-
B.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
-
C.
ethnicCommunityContext
Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
-
D.
hasOrganizingCommunity
Indicates that an event, project, or initiative is organized or coordinated by a specific community or group.
-
E.
communityOrganizationType
Indicates the specific kind or category of community organization associated with an entity.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 5:46 a.m.