Triple

T6012885
Position Surface form Disambiguated ID Type / Status
Subject Lingayen Gulf E133876 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Sual
Sual is a coastal municipality in the province of Pangasinan, Philippines, known for hosting one of the country’s major coal-fired power plants along the Lingayen Gulf.
 E562604 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: Sual | Statement: [Lingayen Gulf, hasShorelineSettlement, Sual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sual
Context triple: [Lingayen Gulf, hasShorelineSettlement, Sual]
  • A. Qus
    Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
  • B. QUE
    QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
  • C. Q
    Q is a powerful, omnipotent trickster from the Q Continuum who frequently tests and torments the crew of the USS Enterprise in Star Trek: The Next Generation.
  • D. Q
    Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
  • E. Q
    The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
  • 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: Sual
Triple: [Lingayen Gulf, hasShorelineSettlement, Sual]
Generated description
Sual is a coastal municipality in the province of Pangasinan, Philippines, known for hosting one of the country’s major coal-fired power plants along the Lingayen Gulf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sual
Target entity description: Sual is a coastal municipality in the province of Pangasinan, Philippines, known for hosting one of the country’s major coal-fired power plants along the Lingayen Gulf.
  • A. Qus
    Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
  • B. QUE
    QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
  • C. Q
    The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
  • D. Q
    Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
  • E. Q
    Q is a powerful, omnipotent trickster from the Q Continuum who frequently tests and torments the crew of the USS Enterprise in Star Trek: The Next Generation.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a7afe88190adeb690f40b2e1e9 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b5816548190b73f19e12cdf8e03 completed March 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69c10c39fb848190a557278d3cd23560 completed March 23, 2026, 9:47 a.m.
Created at: March 22, 2026, 4:06 p.m.