Triple
T3025003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Act No. 8491 |
E82554
|
entity |
| Predicate | tookEffectInDecade |
P10966
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Republic Act No. 8491, tookEffectInDecade, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookEffectInDecade Context triple: [Republic Act No. 8491, tookEffectInDecade, 1990s]
-
A.
cameIntoEffectInDecade
chosen
Indicates that something (such as a law, policy, or agreement) officially began to be in force during a specified decade.
-
B.
completedInDecade
Indicates that an action, event, or process was finished within a specified ten-year time period.
-
C.
declineBeganInDecade
Indicates that the period of decline for an entity or phenomenon started during the specified decade.
-
D.
adoptedInDecade
Indicates that an entity was adopted or formally taken up during a specific ten-year time period (decade).
-
E.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.