Triple
T28112140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata ng Agila Weekend |
E710521
|
entity |
| Predicate | primaryBroadcastCity |
P69825
|
FINISHED |
| Object | Quezon City |
—
|
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: Quezon City | Statement: [Mata ng Agila Weekend, primaryBroadcastCity, Quezon City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBroadcastCity Context triple: [Mata ng Agila Weekend, primaryBroadcastCity, Quezon City]
-
A.
cityOfBroadcast
chosen
Indicates the city from which a broadcast is transmitted or originates.
-
B.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
C.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
D.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
E.
majorReceivingCity
Indicates that one city serves as a primary destination or hub for receiving people, goods, or resources from another location.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 27, 2026, 9:11 p.m.