Triple

T12130405
Position Surface form Disambiguated ID Type / Status
Subject Baler, Aurora, Philippines E288919 entity
Predicate hasBarangay P29835 FINISHED
Object Zabali
Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
 E967977 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: Zabali | Statement: [Baler, Aurora, Philippines, hasBarangay, Zabali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zabali
Context triple: [Baler, Aurora, Philippines, hasBarangay, Zabali]
  • A. Zabban
    Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
  • B. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • C. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • D. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • E. Zamdela
    Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
  • 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: Zabali
Triple: [Baler, Aurora, Philippines, hasBarangay, Zabali]
Generated description
Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zabali
Target entity description: Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • A. Zabban
    Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
  • B. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • C. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • D. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • E. Zamdela
    Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6048d6f24819093862fb46f9938f1 completed May 2, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69f6056e3fdc81908e6e97c4c37a18bb completed May 2, 2026, 2:08 p.m.
Created at: April 8, 2026, 9:49 p.m.