Triple

T12724230
Position Surface form Disambiguated ID Type / Status
Subject Abra E304062 entity
Predicate hasMunicipality P847 FINISHED
Object Lacub
Lacub is a rural municipality in the province of Abra in the Philippines, known for its mountainous terrain and remote, sparsely populated communities.
 E1000973 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: Lacub | Statement: [Abra, hasMunicipality, Lacub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lacub
Context triple: [Abra, hasMunicipality, Lacub]
  • A. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • B. Labuha
    Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • C. Luman
    Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
  • D. Lagata
    Lagata is a small municipality in the province of Zaragoza, within the autonomous community of Aragon in northeastern Spain.
  • E. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • 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: Lacub
Triple: [Abra, hasMunicipality, Lacub]
Generated description
Lacub is a rural municipality in the province of Abra in the Philippines, known for its mountainous terrain and remote, sparsely populated communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lacub
Target entity description: Lacub is a rural municipality in the province of Abra in the Philippines, known for its mountainous terrain and remote, sparsely populated communities.
  • A. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • B. Labuha
    Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • C. Luman
    Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
  • D. Lagata
    Lagata is a small municipality in the province of Zaragoza, within the autonomous community of Aragon in northeastern Spain.
  • E. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964148f988190a4d0e7b41614fa64 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:25 p.m.