Triple
T13337499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baaka |
E317734
|
entity |
| Predicate | hasTraditionalName |
P17611
|
FINISHED |
| Object | Baaka |
E317734
|
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: Baaka | Statement: [Baaka, hasTraditionalName, Baaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baaka Context triple: [Baaka, hasTraditionalName, Baaka]
-
A.
Baaka
chosen
Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
-
B.
Baka
Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
-
C.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
D.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
-
E.
Bako
Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f3bb06c8190beaf6dfbba9ff613 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.