Triple

T22313684
Position Surface form Disambiguated ID Type / Status
Subject Taluksangay Mosque E551587 entity
Predicate locatedIn P40 FINISHED
Object Taluksangay
Taluksangay is a coastal village in Zamboanga City in the southern Philippines known as an early center of Islamic faith in the region.
 E1529991 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: Taluksangay | Statement: [Taluksangay Mosque, locatedIn, Taluksangay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taluksangay
Context triple: [Taluksangay Mosque, locatedIn, Taluksangay]
  • A. Bayag
    Bayag is a dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
  • B. Ikalto
    Ikalto is a historic village in Georgia’s Kakheti region, known for its medieval monastery complex and role as a former cultural and educational center.
  • C. Tashir Plateau
    Tashir Plateau is a highland region in the South Caucasus known for its elevated terrain and proximity to key river systems and mountain ranges.
  • D. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • E. Kalatungan Mountain Range
    Kalatungan Mountain Range is a prominent highland massif in Northern Mindanao, Philippines, known for its biodiverse forests, indigenous communities, and several of the country’s highest peaks.
  • 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: Taluksangay
Triple: [Taluksangay Mosque, locatedIn, Taluksangay]
Generated description
Taluksangay is a coastal village in Zamboanga City in the southern Philippines known as an early center of Islamic faith in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taluksangay
Target entity description: Taluksangay is a coastal village in Zamboanga City in the southern Philippines known as an early center of Islamic faith in the region.
  • A. Bayag
    Bayag is a dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
  • B. Ikalto
    Ikalto is a historic village in Georgia’s Kakheti region, known for its medieval monastery complex and role as a former cultural and educational center.
  • C. Tashir Plateau
    Tashir Plateau is a highland region in the South Caucasus known for its elevated terrain and proximity to key river systems and mountain ranges.
  • D. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • E. Kalatungan Mountain Range
    Kalatungan Mountain Range is a prominent highland massif in Northern Mindanao, Philippines, known for its biodiverse forests, indigenous communities, and several of the country’s highest peaks.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acca7cc988190a88897e9f71ea79c completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acd7bfb4c81909475874f808887c0 completed May 18, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0ace029b74819086a545100e8a8f8a completed May 18, 2026, 8:29 a.m.
Created at: April 16, 2026, 8:42 p.m.