Triple
T18744943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawi-Tawi |
E458384
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
South Ubian
South Ubian is a coastal municipality in the province of Tawi-Tawi in the southern Philippines, known for its island communities and predominantly Muslim population.
|
E1339682
|
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: South Ubian | Statement: [Tawi-Tawi, hasMunicipality, South Ubian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Ubian Context triple: [Tawi-Tawi, hasMunicipality, South Ubian]
-
A.
Eonyang
Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
-
B.
Munji
Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
-
C.
Sonchon
Sonchon is a significant urban center in North Pyongan Province in northwestern North Korea, known for its administrative and regional economic role.
-
D.
Sool region
The Sool region is a disputed territory in northern Somalia, contested primarily between the self-declared state of Somaliland and the autonomous region of Puntland.
-
E.
Dongye
Dongye was the ancient capital city of the Minyue kingdom in what is now southeastern China.
- 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: South Ubian Triple: [Tawi-Tawi, hasMunicipality, South Ubian]
Generated description
South Ubian is a coastal municipality in the province of Tawi-Tawi in the southern Philippines, known for its island communities and predominantly Muslim population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Ubian Target entity description: South Ubian is a coastal municipality in the province of Tawi-Tawi in the southern Philippines, known for its island communities and predominantly Muslim population.
-
A.
Eonyang
Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
-
B.
Munji
Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
-
C.
Sonchon
Sonchon is a significant urban center in North Pyongan Province in northwestern North Korea, known for its administrative and regional economic role.
-
D.
Sool region
The Sool region is a disputed territory in northern Somalia, contested primarily between the self-declared state of Somaliland and the autonomous region of Puntland.
-
E.
Dongye
Dongye was the ancient capital city of the Minyue kingdom in what is now southeastern China.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57691c8688190b225cbd88493d9d1 |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053269162c8190bf4b780904026781 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0532ce7c388190a8d6b2d83ec52354 |
completed | May 14, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053363f09c8190a7927345f1d027b3 |
completed | May 14, 2026, 2:28 a.m. |
Created at: April 10, 2026, 11:51 a.m.