Triple

T2181449
Position Surface form Disambiguated ID Type / Status
Subject Caraga E49052 entity
Predicate hasComponentCity P37693 FINISHED
Object Cabadbaran
Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
E241371 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: Cabadbaran | Statement: [Caraga, hasComponentCity, Cabadbaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabadbaran
Context triple: [Caraga, hasComponentCity, Cabadbaran]
  • A. Khadjibey
    Khadjibey was the historical name of the Black Sea port settlement that later developed into the modern Ukrainian city of Odesa.
  • B. Gözleve
    Gözleve is the former name of Eupatoria, a historic port city on the western coast of Crimea known for its diverse cultural heritage and Black Sea location.
  • C. Evinayong
    Evinayong is a town in mainland Equatorial Guinea that serves as an important local administrative and commercial center.
  • D. Khoy
    Khoy is a historic city in northwestern Iran known as a major urban center of the West Azerbaijan province and an important regional trade hub.
  • E. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • 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: Cabadbaran
Triple: [Caraga, hasComponentCity, Cabadbaran]
Generated description
Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cabadbaran
Target entity description: Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • A. Khadjibey
    Khadjibey was the historical name of the Black Sea port settlement that later developed into the modern Ukrainian city of Odesa.
  • B. Gözleve
    Gözleve is the former name of Eupatoria, a historic port city on the western coast of Crimea known for its diverse cultural heritage and Black Sea location.
  • C. Evinayong
    Evinayong is a town in mainland Equatorial Guinea that serves as an important local administrative and commercial center.
  • D. Khoy
    Khoy is a historic city in northwestern Iran known as a major urban center of the West Azerbaijan province and an important regional trade hub.
  • E. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b101d48190a321625720d537b6 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da5930c819087e71a609f76e269 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e4a45a08190bd96af6cda06ab35 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec4a35c8190bffc7a183497e764 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.