Triple

T6012887
Position Surface form Disambiguated ID Type / Status
Subject Lingayen Gulf E133876 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Agoo
Agoo is a coastal municipality in the province of La Union, Philippines, known for its fishing communities, beaches, and historical churches along the Lingayen Gulf.
 E562605 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: Agoo | Statement: [Lingayen Gulf, hasShorelineSettlement, Agoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agoo
Context triple: [Lingayen Gulf, hasShorelineSettlement, Agoo]
  • A. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • B. Aahoo
    Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • C. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • D. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • 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: Agoo
Triple: [Lingayen Gulf, hasShorelineSettlement, Agoo]
Generated description
Agoo is a coastal municipality in the province of La Union, Philippines, known for its fishing communities, beaches, and historical churches along the Lingayen Gulf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agoo
Target entity description: Agoo is a coastal municipality in the province of La Union, Philippines, known for its fishing communities, beaches, and historical churches along the Lingayen Gulf.
  • A. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • B. Aahoo
    Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • C. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • D. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • 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.