Triple
T23049794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tembuku District |
E573975
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Tembuku |
—
|
NE NERFINISHED |
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: Tembuku | Statement: [Tembuku District, administrativeCenter, Tembuku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tembuku Context triple: [Tembuku District, administrativeCenter, Tembuku]
-
A.
Tembuku
chosen
Tembuku is a town in Bali, Indonesia, serving as the administrative center of Tembuku District in Bangli Regency.
-
B.
Bantumi
Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
-
C.
Letang
Letang is a notable town in eastern Nepal’s Morang District, recognized as a local commercial and administrative center.
-
D.
Letang
Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
-
E.
Nankani
Nankani are an ethnic group of northern Ghana and southern Burkina Faso, closely related culturally and linguistically to other Gur-speaking peoples of the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.