Triple

T3898777
Position Surface form Disambiguated ID Type / Status
Subject Zambales E90435 entity
Predicate hasCapital P204 FINISHED
Object Iba
Iba is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Zambales.
E398204 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: Iba | Statement: [Zambales, hasCapital, Iba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iba
Context triple: [Zambales, hasCapital, Iba]
  • A. Ilo
    Ilo is a given name associated with the individual Ilo Browne Wallace.
  • B. Riaba
    Riaba is a small town on Bioko Island in Equatorial Guinea, known historically as one of the island’s early colonial settlements.
  • C. Sangone
    Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
  • D. Seta River
    The Seta River is a Japanese waterway in Shiga Prefecture that flows out of Lake Biwa and continues downstream as part of the Yodo River system toward Kyoto and Osaka.
  • E. Atabapo River
    The Atabapo River is a significant waterway in southern Venezuela and Colombia that flows through remote rainforest regions before joining the Orinoco River.
  • 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: Iba
Triple: [Zambales, hasCapital, Iba]
Generated description
Iba is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Zambales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Iba
Target entity description: Iba is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Zambales.
  • A. Ilo
    Ilo is a given name associated with the individual Ilo Browne Wallace.
  • B. Riaba
    Riaba is a small town on Bioko Island in Equatorial Guinea, known historically as one of the island’s early colonial settlements.
  • C. Sangone
    Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
  • D. Seta River
    The Seta River is a Japanese waterway in Shiga Prefecture that flows out of Lake Biwa and continues downstream as part of the Yodo River system toward Kyoto and Osaka.
  • E. Atabapo River
    The Atabapo River is a significant waterway in southern Venezuela and Colombia that flows through remote rainforest regions before joining the Orinoco River.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca0f72c819084726f631a947f8c completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5207c0cfc8190aae16e8a88348679 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b52163bf888190b38f87d22ecd200e completed March 14, 2026, 8:50 a.m.
Created at: March 9, 2026, 3:21 p.m.