Triple

T12724246
Position Surface form Disambiguated ID Type / Status
Subject Abra E304062 entity
Predicate hasMunicipality P847 FINISHED
Object Tineg
Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
 E999199 NE FINISHED

How this triple was built (4 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: Tineg | Statement: [Abra, hasMunicipality, Tineg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tineg
Context triple: [Abra, hasMunicipality, Tineg]
  • A. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Teni
    Teni is a Nigerian singer-songwriter and entertainer known for her catchy Afropop hits and playful, charismatic style.
  • C. Tinn
    Tinn is a mountainous municipality in Vestfold og Telemark county, Norway, known for the industrial town of Rjukan and its role in World War II heavy water sabotage.
  • D. Tzia
    Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
  • E. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tineg
Triple: [Abra, hasMunicipality, Tineg]
Generated description
Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tineg
Target entity description: Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
  • A. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Teni
    Teni is a Nigerian singer-songwriter and entertainer known for her catchy Afropop hits and playful, charismatic style.
  • C. Tinn
    Tinn is a mountainous municipality in Vestfold og Telemark county, Norway, known for the industrial town of Rjukan and its role in World War II heavy water sabotage.
  • D. Tzia
    Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
  • E. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • F. None of above. chosen

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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964148f988190a4d0e7b41614fa64 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e12b8148190958b63ba114d6221 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:25 p.m.