Triple
T10501469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seng Guan Temple |
E247681
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Binondo |
E49336
|
NE FINISHED |
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: Binondo | Statement: [Seng Guan Temple, district, Binondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binondo Context triple: [Seng Guan Temple, district, Binondo]
-
A.
Binondo
chosen
Binondo is Manila’s historic Chinatown, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and Chinese-Filipino heritage.
-
B.
Western Bicutan
Western Bicutan is a barangay in the highly urbanized city of Taguig in Metro Manila, Philippines, known for its mixed residential, commercial, and institutional areas.
-
C.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
D.
Lucban
Lucban is a municipality in the province of Quezon in the Philippines, known for its colorful Pahiyas Festival and production of longganisa and other local delicacies.
-
E.
Capampangan
Capampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan people.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099b797c8190a94803fa94eb6981 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9882acd348190ae3ab2f17c834aef |
completed | April 10, 2026, 11:30 p.m. |
Created at: April 6, 2026, 12:25 p.m.