Triple
T35419832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaro, Leyte |
E1023749
|
entity |
| Predicate | usesNationalIDSystem |
P182948
|
FINISHED |
| Object | Philippine Identification System |
—
|
NE NERFINISHED |
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: Philippine Identification System | Statement: [Jaro, Leyte, usesNationalIDSystem, Philippine Identification System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNationalIDSystem Context triple: [Jaro, Leyte, usesNationalIDSystem, Philippine Identification System]
-
A.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
B.
hasGovernmentNumber
Indicates that an entity is assigned a specific official identification number by a government authority.
-
C.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
D.
nationalityInCoverIdentity
Indicates that an entity’s assumed or cover identity is associated with a particular nationality.
-
E.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79588cf848190b078b1dfb65da937 |
completed | May 3, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.