Triple
T10632979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aklan |
E250504
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Nabas
Nabas is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, wind farms, and proximity to the resort island of Boracay.
|
E879434
|
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: Nabas | Statement: [Aklan, hasMunicipality, Nabas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabas Context triple: [Aklan, hasMunicipality, Nabas]
-
A.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
B.
Nabouwalu
Nabouwalu is a small coastal town in Fiji that serves as a key ferry and transport hub linking the island of Vanua Levu with Viti Levu.
-
C.
Bar-Nabas
Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
- 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: Nabas Triple: [Aklan, hasMunicipality, Nabas]
Generated description
Nabas is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, wind farms, and proximity to the resort island of Boracay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nabas Target entity description: Nabas is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, wind farms, and proximity to the resort island of Boracay.
-
A.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
B.
Nabouwalu
Nabouwalu is a small coastal town in Fiji that serves as a key ferry and transport hub linking the island of Vanua Levu with Viti Levu.
-
C.
Bar-Nabas
Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
- 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_69d9884dab1481909c868f7d54265a60 |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:02 p.m.