Triple
T9074254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorane |
E217445
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Daza |
E40959
|
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: Daza | Statement: [Gorane, alsoKnownAs, Daza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daza Context triple: [Gorane, alsoKnownAs, Daza]
-
A.
Daza
chosen
The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
-
B.
Zazai
Zazai is a Pashtun tribe associated with the Karlani tribal confederation, primarily found in eastern Afghanistan and parts of Pakistan.
-
C.
Miyazu
Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
-
D.
Daisi
Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
-
E.
Tateishi
Tateishi is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, narrow shopping streets, and old-style bars and eateries.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c4026c8190b553aedb9f4beabb |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdfe16c4819092c884bc3fe5daeb |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:12 p.m.