Triple

T11109367
Position Surface form Disambiguated ID Type / Status
Subject Daanbantayan E262714 entity
Predicate hasBarangay P29835 FINISHED
Object Tinubdan
Tinubdan is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
 E906339 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: Tinubdan | Statement: [Daanbantayan, hasBarangay, Tinubdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tinubdan
Context triple: [Daanbantayan, hasBarangay, Tinubdan]
  • A. Abakuá
    Abakuá is an Afro-Cuban fraternal and religious society with roots in West African traditions, known for its secret rituals, music, and strong communal bonds.
  • B. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • C. Babalú-Ayé
    Babalú-Ayé is a major Orisha in the Yoruba and Afro-Cuban religious traditions, revered as the powerful deity of disease, healing, and protection from epidemics.
  • D. Babatunde
    Babatunde is a Yoruba given name meaning "father returns," commonly used in Nigeria and other West African communities.
  • E. Jolu
    Jolu is a character in Cory Doctorow's novel "Little Brother," known as one of Marcus Yallow's close friends and fellow teenage hackers resisting government surveillance.
  • 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: Tinubdan
Triple: [Daanbantayan, hasBarangay, Tinubdan]
Generated description
Tinubdan is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tinubdan
Target entity description: Tinubdan is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
  • A. Abakuá
    Abakuá is an Afro-Cuban fraternal and religious society with roots in West African traditions, known for its secret rituals, music, and strong communal bonds.
  • B. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • C. Babalú-Ayé
    Babalú-Ayé is a major Orisha in the Yoruba and Afro-Cuban religious traditions, revered as the powerful deity of disease, healing, and protection from epidemics.
  • D. Babatunde
    Babatunde is a Yoruba given name meaning "father returns," commonly used in Nigeria and other West African communities.
  • E. Jolu
    Jolu is a character in Cory Doctorow's novel "Little Brother," known as one of Marcus Yallow's close friends and fellow teenage hackers resisting government surveillance.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6896c0819082685b5b4600d158 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:27 p.m.