Triple
T9770896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimasa community |
E237119
|
entity |
| Predicate | traditionalDress |
P5541
|
FINISHED |
| Object |
Rigu
Rigu is a traditional garment worn by women of the Dimasa community, typically characterized by its handwoven fabric and distinctive patterns.
|
E820062
|
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: Rigu | Statement: [Dimasa community, traditionalDress, Rigu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rigu Context triple: [Dimasa community, traditionalDress, Rigu]
-
A.
Arorae
Arorae is a small, inhabited coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional culture and remote location in the central Pacific Ocean.
-
B.
Dasu
Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
-
C.
Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
-
D.
Monghidoro
Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
-
E.
Chiwan
Chiwan is a coastal area in Shenzhen, China, known for its port facilities, historical sites, and role in the city’s maritime trade.
- 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: Rigu Triple: [Dimasa community, traditionalDress, Rigu]
Generated description
Rigu is a traditional garment worn by women of the Dimasa community, typically characterized by its handwoven fabric and distinctive patterns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rigu Target entity description: Rigu is a traditional garment worn by women of the Dimasa community, typically characterized by its handwoven fabric and distinctive patterns.
-
A.
Arorae
Arorae is a small, inhabited coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional culture and remote location in the central Pacific Ocean.
-
B.
Dasu
Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
-
C.
Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
-
D.
Monghidoro
Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
-
E.
Chiwan
Chiwan is a coastal area in Shenzhen, China, known for its port facilities, historical sites, and role in the city’s maritime trade.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f329148190a5e531478bc18073 |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd0cae548190a2d9b42ea4ecc372 |
completed | April 5, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_69d1be4f81cc819093a80da4025ccc5d |
completed | April 5, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1beda84d4819089eb9f33824f1c35 |
completed | April 5, 2026, 1:46 a.m. |
Created at: March 30, 2026, 8:26 p.m.