Triple

T22934401
Position Surface form Disambiguated ID Type / Status
Subject Isneg E569538 entity
Predicate politicalSubdivision P10770 FINISHED
Object Province of Apayao
The Province of Apayao is a landlocked, mountainous province in the Cordillera Administrative Region of northern Luzon in the Philippines, known for its indigenous Isneg communities, rich river systems, and largely forested landscapes.
E1598228 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: Province of Apayao | Statement: [Isneg, politicalSubdivision, Province of Apayao]
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: Province of Apayao
Triple: [Isneg, politicalSubdivision, Province of Apayao]
Generated description
The Province of Apayao is a landlocked, mountainous province in the Cordillera Administrative Region of northern Luzon in the Philippines, known for its indigenous Isneg communities, rich river systems, and largely forested landscapes.

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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f536a6b6c8190a772c7f732718644 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f5461406c8190a5cbf19b614ca745 completed May 21, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0f54e4e1d081908e4e42056ce1d23e completed May 21, 2026, 6:54 p.m.
Created at: April 17, 2026, 3:44 p.m.