Triple
T37571851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMA Network Center |
E934708
|
entity |
| Predicate | networkHeadquartered |
P188728
|
FINISHED |
| Object | GMA Network |
—
|
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: GMA Network | Statement: [GMA Network Center, networkHeadquartered, GMA Network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkHeadquartered Context triple: [GMA Network Center, networkHeadquartered, GMA Network]
-
A.
headquarteredWith
Indicates that two entities share the same headquarters location.
-
B.
employerHeadquarters
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
C.
hasHeadquartersFunctionFor
Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
-
D.
systemHeadquartersLocation
Indicates the location where an organization’s main administrative or central operations are based.
-
E.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.