Triple
T2855363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan of Baguio |
E63186
|
entity |
| Predicate | appliesToCity |
P4810
|
FINISHED |
| Object | Baguio |
E101543
|
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: Baguio | Statement: [Plan of Baguio, appliesToCity, Baguio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baguio Context triple: [Plan of Baguio, appliesToCity, Baguio]
-
A.
Baguio
chosen
Baguio is a mountain resort city in the Philippines known for its cool climate, pine forests, and role as the country's "Summer Capital."
-
B.
Laoag
Laoag is a coastal city in northern Luzon, Philippines, known as the capital of Ilocos Norte and a regional center for commerce, education, and tourism.
-
C.
Cagayan de Oro
Cagayan de Oro is a highly urbanized city in Northern Mindanao, Philippines, known as a regional economic hub and gateway to the island’s northern corridor.
-
D.
Caloocan
Caloocan is a highly urbanized city in the Philippines that forms part of the northern section of Metro Manila and serves as a major residential and commercial hub.
-
E.
Davao City
Davao City is a major urban center in the southern Philippines known for its economic hub status, proximity to Mount Apo, and reputation as one of the country’s safest and most progressive cities.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf60852c8190b66c8719c63a723e |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a81796fc8190b96e1feff3a73cba |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 6, 2026, 10:02 p.m.