Triple
T5615588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manobo languages |
E147468
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Tagabawa
Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
|
E534750
|
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: Tagabawa | Statement: [Manobo languages, hasSubgroup, Tagabawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagabawa Context triple: [Manobo languages, hasSubgroup, Tagabawa]
-
A.
Tabogon
Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
-
B.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
C.
Kagawong
Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
-
D.
Sibunag
Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
-
E.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
- 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: Tagabawa Triple: [Manobo languages, hasSubgroup, Tagabawa]
Generated description
Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tagabawa Target entity description: Tagabawa is an Austronesian language spoken by the Bagobo-Tagabawa people of Mindanao in the southern Philippines.
-
A.
Tabogon
Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
-
B.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
C.
Kagawong
Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
-
D.
Sibunag
Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
-
E.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021d8d600819097df4e265e262d90 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d51c12c8190911fb9a0c0d234d8 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e89b7c481908abae227d22cc814 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f41b158819097f9ef536215e248 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:39 p.m.