Triple
T8104459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navotas |
E189191
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Filipino |
E1182
|
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: Filipino | Statement: [Navotas, language, Filipino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filipino Context triple: [Navotas, language, Filipino]
-
A.
Filipino
chosen
Filipinos are a Southeast Asian ethnolinguistic group native to the Philippines, known for their diverse Austronesian, Spanish, American, and Chinese cultural influences and a global diaspora.
-
B.
Tagalog
Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
-
C.
Zamboangueño
Zamboangueño is a major variety of the Spanish-based creole language Chavacano spoken primarily in Zamboanga City in the southern Philippines.
-
D.
Kapampangan language
Kapampangan is an Austronesian language of the Philippines primarily spoken in the Pampanga region of Central Luzon.
-
E.
Filipina
Filipina is an island country in Southeast Asia composed of thousands of islands, known for its diverse cultures, tropical landscapes, and strategic location in the western Pacific Ocean.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42c0ce6481909887be82c8019383 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe73549081908e8601aab662725f |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:31 p.m.