Triple
T11038589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davao del Norte |
E260948
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Tagum |
E240757
|
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: Tagum | Statement: [Davao del Norte, capital, Tagum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagum Context triple: [Davao del Norte, capital, Tagum]
-
A.
Tagum
chosen
Tagum is a rapidly developing city in the southern Philippines known as the capital of Davao del Norte and a commercial and cultural hub in the Davao Region.
-
B.
Maitum
Maitum is a coastal municipality in the province of Sarangani in the Philippines, known for its archaeological sites and prehistoric anthropomorphic burial jars.
-
C.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
D.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
E.
Gumaca
Gumaca is a coastal municipality in the province of Quezon in the Philippines, known for its historic churches and role as a local commercial center.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797fe93b081909d58bfd4b42715f0 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9c669608190af97c461beaf9f31 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:26 p.m.