Triple
T15228758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silang |
E363943
|
entity |
| Predicate | neighboringCity |
P988
|
FINISHED |
| Object | Dasmariñas |
E205490
|
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: Dasmariñas | Statement: [Silang, neighboringCity, Dasmariñas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasmariñas Context triple: [Silang, neighboringCity, Dasmariñas]
-
A.
Dasmariñas
chosen
Dasmariñas is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational hub south of Metro Manila.
-
B.
Sto. Rosario
Sto. Rosario is a central barangay in Angeles City, Philippines, known for encompassing the city’s historic downtown and key cultural and commercial areas.
-
C.
Galapagar
Galapagar is a municipality in the Community of Madrid, Spain, known for its natural surroundings in the Sierra de Guadarrama and its role as a residential town near the capital.
-
D.
Sta. Cruz
Sta. Cruz is a coastal municipality in the province of Zambales in the Philippines, known for its fishing communities and proximity to the West Philippine Sea.
-
E.
Sta. Cruz
Sta. Cruz is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural economy and proximity to the South China Sea.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078ccdf48190b34eabd9e24e45a1 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89197988190891920bfbacc0193 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:12 a.m.