Triple
T4636584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taal Lake |
E101546
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Tagaytay |
E363935
|
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: Tagaytay | Statement: [Taal Lake, nearCity, Tagaytay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagaytay Context triple: [Taal Lake, nearCity, Tagaytay]
-
A.
Tagaytay
chosen
Tagaytay is a popular highland city in the Philippines known for its cool climate and scenic views of Taal Volcano and Taal Lake.
-
B.
Masantol
Masantol is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing communities and riverine landscapes along the Pampanga River delta.
-
C.
Batasan Hills
Batasan Hills is a barangay in Quezon City, Metro Manila, known for housing the Philippine House of Representatives and other key government institutions.
-
D.
Abucay
Abucay is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance dating back to the Spanish colonial period.
-
E.
Baliuag
Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a62a9e48190b0cf1cbcc51f00c0 |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfacba5fc8190bc86157ee5719ced |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:13 p.m.