Triple

T3503856
Position Surface form Disambiguated ID Type / Status
Subject Cavite E74028 entity
Predicate hasMunicipality P847 FINISHED
Object Silang
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.
 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: [Cavite, hasMunicipality, Silang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silang
Context triple: [Cavite, hasMunicipality, 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. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • C. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • D. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • E. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • 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: [Cavite, hasMunicipality, Silang]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silang
Target entity description: 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.
  • 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. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • C. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • D. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • E. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf0c2b48190b49923137bb9e45d completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373db933881908557d678dcdee382 completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b377a690348190a765b021bbbc820c completed March 13, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69b3781aaab48190a497a0929966ec12 completed March 13, 2026, 2:36 a.m.
Created at: March 8, 2026, 3:18 p.m.