Triple
T19057670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnham Park |
E466440
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Baguio City Hall |
—
|
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: Baguio City Hall | Statement: [Burnham Park, adjacentTo, Baguio City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baguio City Hall Context triple: [Burnham Park, adjacentTo, Baguio City Hall]
-
A.
Baguio City Hall
chosen
Baguio City Hall is the main government building and administrative center of Baguio City in the Philippines, housing the offices of the city mayor and other key local government departments.
-
B.
Quezon City Hall
Quezon City Hall is the main government complex and administrative center of Quezon City in Metro Manila, Philippines.
-
C.
Caloocan City Hall
Caloocan City Hall is the main government building and administrative center of Caloocan, a highly urbanized city in Metro Manila, Philippines.
-
D.
Cebu City Hall
Cebu City Hall is the main government building and administrative center of Cebu City in the Philippines.
-
E.
Calamba City Hall
Calamba City Hall is the main government building and administrative center of Calamba City in Laguna, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0742288190a594be859184841a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.