Triple

T4719337
Position Surface form Disambiguated ID Type / Status
Subject Taguig E104725 entity
Predicate hasBarangay P29835 FINISHED
Object Pinagsama
Pinagsama is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
 E465737 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: Pinagsama | Statement: [Taguig, hasBarangay, Pinagsama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinagsama
Context triple: [Taguig, hasBarangay, Pinagsama]
  • A. Sameba
    Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
  • B. Putaendo
    Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
  • C. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • D. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • E. Tehkummah
    Tehkummah is a small rural township and municipality located on Manitoulin Island in Ontario, Canada.
  • 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: Pinagsama
Triple: [Taguig, hasBarangay, Pinagsama]
Generated description
Pinagsama is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinagsama
Target entity description: Pinagsama is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
  • A. Sameba
    Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
  • B. Putaendo
    Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
  • C. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • D. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • E. Tehkummah
    Tehkummah is a small rural township and municipality located on Manitoulin Island in Ontario, Canada.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642779a08190b01e588d515cf498 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108bc0048190aeea8674f75105e5 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be2e247f28819099e14db2c551a8f2 completed March 21, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_69be2ee962f88190927ccb32acdcc2e8 completed March 21, 2026, 5:38 a.m.
Created at: March 20, 2026, 1:18 p.m.