Triple

T15268492
Position Surface form Disambiguated ID Type / Status
Subject Amadeo E364959 entity
Predicate locatedNear P294 FINISHED
Object Silang
Silang is a municipality in the province of Cavite in the Philippines, known for its cool climate, agricultural lands, and proximity to Tagaytay.
 E363943 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: Silang | Statement: [Amadeo, locatedNear, Silang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silang
Context triple: [Amadeo, locatedNear, Silang]
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Shekkacho
    Shekkacho is an Afroasiatic Omotic language spoken by the Shekkacho people in southwestern Ethiopia.
  • C. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • D. Warhad
    Warhad is an old regional name historically used for the area later known as Berar in central India.
  • E. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • 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: Silang
Triple: [Amadeo, locatedNear, Silang]
Generated description
Silang is a municipality in the province of Cavite in the Philippines, known for its cool climate, agricultural lands, and proximity to Tagaytay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silang
Target entity description: Silang is a municipality in the province of Cavite in the Philippines, known for its cool climate, agricultural lands, and proximity to Tagaytay.
  • A. Silang chosen
    Silang is a first-class municipality in the province of Cavite in the Philippines, known for its cool climate, agricultural produce, and proximity to Tagaytay.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Shekkacho
    Shekkacho is an Afroasiatic Omotic language spoken by the Shekkacho people in southwestern Ethiopia.
  • D. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • E. Warhad
    Warhad is an old regional name historically used for the area later known as Berar in central India.
  • F. None of above.

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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094ca9ac8190a1f97a7b74c96cd5 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee602067c81908b1aaaca8871eeb9 completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee6b1a29481908c5c945ef801468d completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee7b5e3f0819091246455e239996a completed May 9, 2026, 7:52 a.m.
Created at: April 10, 2026, 3:14 a.m.