Triple
T29699394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act No. 175 of the Philippine Commission |
E751436
|
entity |
| Predicate | sequenceInLegislation |
P154355
|
FINISHED |
| Object | Act No. 175 |
—
|
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: Act No. 175 | Statement: [Act No. 175 of the Philippine Commission, sequenceInLegislation, Act No. 175]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInLegislation Context triple: [Act No. 175 of the Philippine Commission, sequenceInLegislation, Act No. 175]
-
A.
areaOfLegislation
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
-
B.
signedLegislation
Indicates that an authority formally approved and enacted a piece of legislation into law by signing it.
-
C.
subsequentLegislation
chosen
Indicates that one piece of legislation follows and is enacted after another, often affecting or modifying the earlier law.
-
D.
legislativeActOf
Indicates a relationship where a legislative act is authored, enacted, or formally issued by a specific legislative body or authority.
-
E.
relatedLegislation
Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672b30ed88190bef8e60e45b01dd7 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:22 p.m.