Triple
T20893036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang |
E514455
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Dang |
—
|
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: Dang | Statement: [Tang, hasVariantTransliteration, Dang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dang Context triple: [Tang, hasVariantTransliteration, Dang]
-
A.
Dang
chosen
Dang is a district in southwestern Nepal known for its fertile valleys, diverse ethnic communities, and role as a transport hub linking the Terai plains with the mid-hills.
-
B.
Darngku
Darngku is the Aboriginal name for Geikie Gorge, a significant cultural and natural landmark in Western Australia’s Kimberley region.
-
C.
Dang!
"Dang!" is a funk-influenced hip-hop single by Mac Miller featuring Anderson .Paak, known for its upbeat groove and themes of love and loss.
-
D.
Dasing
Dasing is a small municipality in the district of Aichach-Friedberg in Bavaria, Germany.
-
E.
DANG
DANG is the commonly used acronym for the Director of the Air National Guard, the senior leader responsible for overseeing the U.S. Air National Guard.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05fecd88190905a0ea80a24406a |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.