Triple
T11062138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badian |
E261532
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Lambug
Lambug is a coastal barangay in the municipality of Badian, Cebu, Philippines, known for its white-sand beach and tourism activities.
|
E902520
|
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: Lambug | Statement: [Badian, hasBarangay, Lambug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lambug Context triple: [Badian, hasBarangay, Lambug]
-
A.
Lamboya
Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
-
B.
Lamani
Lamani refers to the Lambadi (or Banjara) community, a traditionally nomadic tribal group in India known for their vibrant culture, distinctive dress, and rich folk traditions.
-
C.
Lambaye
Lambaye was the principal urban and political center that served as the capital of the historic Wolof Empire in what is now Senegal.
-
D.
Lahmu
Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
-
E.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
- 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: Lambug Triple: [Badian, hasBarangay, Lambug]
Generated description
Lambug is a coastal barangay in the municipality of Badian, Cebu, Philippines, known for its white-sand beach and tourism activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lambug Target entity description: Lambug is a coastal barangay in the municipality of Badian, Cebu, Philippines, known for its white-sand beach and tourism activities.
-
A.
Lamboya
Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
-
B.
Lamani
Lamani refers to the Lambadi (or Banjara) community, a traditionally nomadic tribal group in India known for their vibrant culture, distinctive dress, and rich folk traditions.
-
C.
Lambaye
Lambaye was the principal urban and political center that served as the capital of the historic Wolof Empire in what is now Senegal.
-
D.
Lahmu
Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
-
E.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798eb838c819089a89c55209c0295 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c887d2148190b19c91b6eb548494 |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3cadf271081908d2b794a4288892a |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf08cf108190966b4abd0514a6ea |
completed | April 18, 2026, 6:35 p.m. |
Created at: April 8, 2026, 9:26 p.m.