Triple
T16381612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nias people |
E397819
|
entity |
| Predicate | traditionalHouseType |
P542
|
FINISHED |
| Object | Omo Sebua |
E983030
|
NE FINISHED |
How this triple was built (2 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: Omo Sebua | Statement: [Nias people, traditionalHouseType, Omo Sebua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omo Sebua Context triple: [Nias people, traditionalHouseType, Omo Sebua]
-
A.
Omo Sebua
chosen
Omo Sebua is a traditional elevated wooden chief’s house of the Nias people of Indonesia, renowned for its massive construction, earthquake resistance, and defensive design.
-
B.
Omo Ope
"Omo Ope" is a breakout Afrobeats hit by Nigerian singer Asake that helped launch him to mainstream popularity.
-
C.
Omo
Omo is a track from Burna Boy’s acclaimed album "African Giant," showcasing his fusion of Afro-fusion rhythms and socially conscious lyrics.
-
D.
Omo
Omo is a widely recognized global laundry detergent brand known for its stain-removal performance and household cleaning products.
-
E.
Oke Oyi
Oke Oyi is a town in Kwara State, Nigeria, serving as the administrative headquarters of Ilorin East Local Government Area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035689ef08190ba980a359498ca56 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.