Triple
T10632972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aklan |
E250504
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Balete
Balete is a municipality in the province of Aklan in the Philippines, known for its rural communities and agricultural landscape.
|
E876379
|
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: Balete | Statement: [Aklan, hasMunicipality, Balete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balete Context triple: [Aklan, hasMunicipality, Balete]
-
A.
Agoncillo
Agoncillo is a lakeside municipality in the Philippine province of Batangas known for its proximity to Taal Lake and Taal Volcano.
-
B.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Bakumpai
The Bakumpai are an indigenous Dayak ethnic group of central Kalimantan, Indonesia, traditionally living along the Barito River and known for their distinct language and river-based culture.
- 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: Balete Triple: [Aklan, hasMunicipality, Balete]
Generated description
Balete is a municipality in the province of Aklan in the Philippines, known for its rural communities and agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balete Target entity description: Balete is a municipality in the province of Aklan in the Philippines, known for its rural communities and agricultural landscape.
-
A.
Agoncillo
Agoncillo is a lakeside municipality in the Philippine province of Batangas known for its proximity to Taal Lake and Taal Volcano.
-
B.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Bakumpai
The Bakumpai are an indigenous Dayak ethnic group of central Kalimantan, Indonesia, traditionally living along the Barito River and known for their distinct language and river-based culture.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bbd64d8819089d55af875d39e45 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d9701de92881908c0b8f05eae97e35 |
completed | April 10, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 9:02 p.m.