Triple
T17685287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colon Street |
E440872
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | Cebu 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: Cebu City Hall | Statement: [Colon Street, hasNearbyLandmark, Cebu City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cebu City Hall Context triple: [Colon Street, hasNearbyLandmark, Cebu City Hall]
-
A.
Cebu City Hall
chosen
Cebu City Hall is the main government building and administrative center of Cebu City in the Philippines.
-
B.
Quezon City Hall
Quezon City Hall is the main government complex and administrative center of Quezon City in Metro Manila, Philippines.
-
C.
Cavite City Hall
Cavite City Hall is the main government building and administrative center of Cavite City in the Philippines.
-
D.
Manila City Hall
Manila City Hall is a prominent government building and historical landmark in the Philippines’ capital, known for its distinctive clock tower and its location at the site of intense fighting during the 1945 Battle of Manila.
-
E.
Makati City Hall
Makati City Hall is the main government building and administrative center of Makati, a major financial and business district in Metro Manila, 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47047d90c8190a172201f3de6db87 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.