Triple

T16396869
Position Surface form Disambiguated ID Type / Status
Subject Botolan E398205 entity
Predicate hasBarangay P29835 FINISHED
Object Danacbunga
Danacbunga is a rural barangay (village-level administrative division) of the municipality of Botolan in the province of Zambales, Philippines.
 E1209583 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: Danacbunga | Statement: [Botolan, hasBarangay, Danacbunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danacbunga
Context triple: [Botolan, hasBarangay, Danacbunga]
  • A. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Dagana
    Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
  • C. Douye
    Douye is a Nigerian politician who serves as the Governor of Bayelsa State.
  • D. Balaesang
    Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
  • E. Banog
    Banog is a location that serves as one terminus of the Great Arc of the Meridian.
  • 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: Danacbunga
Triple: [Botolan, hasBarangay, Danacbunga]
Generated description
Danacbunga is a rural barangay (village-level administrative division) of the municipality of Botolan in the province of Zambales, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danacbunga
Target entity description: Danacbunga is a rural barangay (village-level administrative division) of the municipality of Botolan in the province of Zambales, Philippines.
  • A. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Dagana
    Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
  • C. Douye
    Douye is a Nigerian politician who serves as the Governor of Bayelsa State.
  • D. Balaesang
    Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
  • E. Banog
    Banog is a location that serves as one terminus of the Great Arc of the Meridian.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cb3c708190b64341cb1410ed81 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a0035ea77dc8190bda37dac2710d0e3 completed May 10, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:09 a.m.