Triple
T18622747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Jose City |
E455196
|
entity |
| Predicate | hasRoleInProvince |
P132441
|
FINISHED |
| Object | agricultural center of Nueva Ecija |
—
|
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: agricultural center of Nueva Ecija | Statement: [San Jose City, hasRoleInProvince, agricultural center of Nueva Ecija]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInProvince Context triple: [San Jose City, hasRoleInProvince, agricultural center of Nueva Ecija]
-
A.
isInProvince
Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
-
B.
hasProvinceOrRegion
Indicates that one entity includes, is associated with, or is located within a specific province or region as an administrative or geographic subdivision.
-
C.
hasProvinceStatus
Indicates that an entity holds the administrative or political status of a province within a larger territorial or governmental system.
-
D.
hasProvinceType
Indicates that an entity is associated with a province classified by a specific type or category.
-
E.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e485f5d1588190b44f31cbc54c0a9d |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 11:46 a.m.