Triple
T14502299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bontoc |
E340172
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Talubin Bontok
Talubin Bontok is a local variety of the Bontok language spoken in the village of Talubin in the Mountain Province of the northern Philippines.
|
E1102622
|
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: Talubin Bontok | Statement: [Bontoc, hasDialect, Talubin Bontok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talubin Bontok Context triple: [Bontoc, hasDialect, Talubin Bontok]
-
A.
Tukabai
Tukabai was a wife of the Maratha nobleman Shahaji Bhonsle and a member of the early 17th-century Maratha aristocracy.
-
B.
Tabonibara
Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Bontosunggu
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
-
D.
Hikong B’lebel
Hikong B’lebel is one of the seven scenic waterfalls in Lake Sebu, South Cotabato, Philippines, known for its lush surroundings and cultural significance to the T’boli people.
-
E.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
- 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: Talubin Bontok Triple: [Bontoc, hasDialect, Talubin Bontok]
Generated description
Talubin Bontok is a local variety of the Bontok language spoken in the village of Talubin in the Mountain Province of the northern Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talubin Bontok Target entity description: Talubin Bontok is a local variety of the Bontok language spoken in the village of Talubin in the Mountain Province of the northern Philippines.
-
A.
Tukabai
Tukabai was a wife of the Maratha nobleman Shahaji Bhonsle and a member of the early 17th-century Maratha aristocracy.
-
B.
Tabonibara
Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Bontosunggu
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
-
D.
Hikong B’lebel
Hikong B’lebel is one of the seven scenic waterfalls in Lake Sebu, South Cotabato, Philippines, known for its lush surroundings and cultural significance to the T’boli people.
-
E.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9b6f7481908b7eb76226a93545 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6efed3108190a524c64adf740303 |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f8648408190aed910a7f269abee |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 10, 2026, 1:21 a.m.