Triple
T16979156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Ignacia |
E411894
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Camiling |
E411885
|
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: Camiling | Statement: [Santa Ignacia, borderedBy, Camiling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camiling Context triple: [Santa Ignacia, borderedBy, Camiling]
-
A.
Camiling
chosen
Camiling is a first-class municipality in the province of Tarlac in the Philippines, known as a commercial and educational hub in the region.
-
B.
Camalig
Camalig is a municipality in the Philippine province of Albay known for its historical heritage and proximity to Mayon Volcano.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Mulambin
Mulambin is a small coastal locality in Queensland, Australia, known for its quiet beachfront and proximity to other Capricorn Coast communities such as Kinka Beach.
-
E.
Camalaniugan
Camalaniugan is a municipality in the province of Cagayan in the Philippines, known for its historic churches and riverside setting along the Cagayan River.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d185a9408190a991bf8a1ef694f0 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d477f7ec81909f1f0243004c9050 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:32 a.m.