Triple
T38423056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maringal na Lahi |
E903282
|
entity |
| Predicate | higherAwardingBody |
P195960
|
FINISHED |
| Object | Government 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: Government of the Philippines | Statement: [Maringal na Lahi, higherAwardingBody, Government of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherAwardingBody Context triple: [Maringal na Lahi, higherAwardingBody, Government of the Philippines]
-
A.
languageOfAwardingBodies
Indicates the language or languages used by the organizations or institutions that grant the awards.
-
B.
hasAwardingBodyType
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
C.
higherAward
Indicates that one entity has received an award that is of greater prestige, rank, or value than the award received by another entity.
-
D.
formerNameOfAwardingBody
Indicates that one entity was the previous official name of the organization or body that grants a particular award.
-
E.
accreditingBody
Indicates that an entity serves as the official organization that grants accreditation or formal recognition to another entity.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
| PDg | Predicate description generation | batch_69fdf5cfa1ec8190b80d887fa1bfb4cf |
completed | May 8, 2026, 2:40 p.m. |
Created at: May 3, 2026, 4:31 p.m.