Triple
T20128355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenzo Daza |
E490817
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Daza |
—
|
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: Daza | Statement: [Lorenzo Daza, familyName, Daza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daza Context triple: [Lorenzo Daza, familyName, 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.
Chakiwara
Chakiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban character and vibrant local culture.
-
D.
Sawa
Sawa is a Japanese surname most prominently associated with Homare Sawa, a legendary Japanese women’s footballer and World Cup winner.
-
E.
Adenzai
Adenzai is a town and administrative settlement located in the Lower Dir District of Khyber Pakhtunkhwa province in Pakistan.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6675fe3d48190b0c20b483a951e68 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.