Triple
T36627775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hamiguitan Range Wildlife Sanctuary |
E904221
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Mati City
Mati City is a coastal city in Davao Oriental, Philippines, known for its beaches, surfing spots, and proximity to the biodiverse Mount Hamiguitan Range Wildlife Sanctuary.
|
E2192555
|
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: Mati City | Statement: [Mount Hamiguitan Range Wildlife Sanctuary, municipality, Mati City]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mati City Triple: [Mount Hamiguitan Range Wildlife Sanctuary, municipality, Mati City]
Generated description
Mati City is a coastal city in Davao Oriental, Philippines, known for its beaches, surfing spots, and proximity to the biodiverse Mount Hamiguitan Range Wildlife Sanctuary.
Provenance (5 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c4b2053c81909ce81e12c450f82c |
completed | May 3, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a09668388819085038ba372ba1ce8 |
completed | June 23, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_6a3a0d894224819083922e4e45b567a5 |
completed | June 23, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a116ce7588190a9eace8342ac564c |
completed | June 23, 2026, 4:54 a.m. |
Created at: May 3, 2026, 4:11 p.m.