Triple

T12724233
Position Surface form Disambiguated ID Type / Status
Subject Abra E304062 entity
Predicate hasMunicipality P847 FINISHED
Object Langiden
Langiden is a rural municipality located in the landlocked province of Abra in the Cordillera region of the Philippines.
 E1000974 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: Langiden | Statement: [Abra, hasMunicipality, Langiden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langiden
Context triple: [Abra, hasMunicipality, Langiden]
  • A. Eiden
    Eiden is a given name that functions as a variant spelling of the name Aidan.
  • B. Igede
    Igede is an ethnic group in central Nigeria known for its distinct language, cultural festivals, and presence in and around Benue State.
  • C. Lidan
    Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
  • D. Heiden
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • E. Heiden
    Heiden is the central hall of worship within Japan’s Itsukushima Shrine, used for Shinto religious ceremonies and offerings.
  • 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: Langiden
Triple: [Abra, hasMunicipality, Langiden]
Generated description
Langiden is a rural municipality located in the landlocked province of Abra in the Cordillera region of the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langiden
Target entity description: Langiden is a rural municipality located in the landlocked province of Abra in the Cordillera region of the Philippines.
  • A. Eiden
    Eiden is a given name that functions as a variant spelling of the name Aidan.
  • B. Igede
    Igede is an ethnic group in central Nigeria known for its distinct language, cultural festivals, and presence in and around Benue State.
  • C. Lidan
    Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
  • D. Heiden
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • E. Heiden
    Heiden is the central hall of worship within Japan’s Itsukushima Shrine, used for Shinto religious ceremonies and offerings.
  • 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_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:25 p.m.