Triple
T35096102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muslim Filipinos |
E1012870
|
entity |
| Predicate | personalLawName |
P76580
|
FINISHED |
| Object | Code of Muslim Personal Laws of the Philippines |
—
|
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: Code of Muslim Personal Laws of the Philippines | Statement: [Muslim Filipinos, personalLawName, Code of Muslim Personal Laws of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalLawName Context triple: [Muslim Filipinos, personalLawName, Code of Muslim Personal Laws of the Philippines]
-
A.
legalCodeName
chosen
Indicates that one entity is the official legal code designation or name assigned to another entity within a legal or regulatory system.
-
B.
usesLegalNameOf
Indicates that one entity refers to or identifies another entity by that other entity’s official legal name.
-
C.
fullLegalName
Indicates that the associated value is the complete, official legal name of the entity as recognized by law or formal records.
-
D.
legalPersonality
Indicates that an entity possesses recognized legal status, enabling it to hold rights, bear obligations, and act as a subject under the law.
-
E.
motherLegalName
Indicates that the object is the full legal name of the subject's mother.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.