Triple
T37571639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ateneo Blue Eagles |
E934702
|
entity |
| Predicate | homeProvinceOrRegion |
P79461
|
FINISHED |
| Object | Metro Manila |
—
|
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: Metro Manila | Statement: [Ateneo Blue Eagles, homeProvinceOrRegion, Metro Manila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeProvinceOrRegion Context triple: [Ateneo Blue Eagles, homeProvinceOrRegion, Metro Manila]
-
A.
hostProvinceOrState
Indicates that one administrative province or state serves as the host or location for another entity, such as an event, organization, or facility.
-
B.
baseProvince
chosen
Indicates that one administrative or territorial unit serves as the primary or originating province associated with another entity.
-
C.
sourceProvince
Indicates the province from which something or someone originates or is sourced.
-
D.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
-
E.
destinationProvince
Indicates the province that serves as the endpoint or target location of a movement, transfer, or route.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.