Triple

T3908647
Position Surface form Disambiguated ID Type / Status
Subject Bulacan E87267 entity
Predicate hasMunicipality P847 FINISHED
Object Pandi
Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
E397303 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: Pandi | Statement: [Bulacan, hasMunicipality, Pandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandi
Context triple: [Bulacan, hasMunicipality, Pandi]
  • A. Pande
    Pande is a surname commonly found in South Asia, particularly among Hindu communities in India and Nepal.
  • B. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • C. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • D. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • E. Poh Pitu
    Poh Pitu was an early capital city of the Medang Kingdom, an ancient Javanese Hindu-Buddhist polity in what is now Indonesia.
  • 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: Pandi
Triple: [Bulacan, hasMunicipality, Pandi]
Generated description
Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pandi
Target entity description: Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
  • A. Pande
    Pande is a surname commonly found in South Asia, particularly among Hindu communities in India and Nepal.
  • B. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • C. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • D. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • E. Poh Pitu
    Poh Pitu was an early capital city of the Medang Kingdom, an ancient Javanese Hindu-Buddhist polity in what is now Indonesia.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed13bb14819096842c6c82342524 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d8510c08190a88a1a8f044b3c59 completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e0e9df08190959bc5cb7084d8a5 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:22 p.m.