Triple
T7249543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziza |
E156560
|
entity |
| Predicate | hasNameForm |
P19207
|
FINISHED |
| Object | Ziza |
E156560
|
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: Ziza | Statement: [Ziza, hasNameForm, Ziza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziza Context triple: [Ziza, hasNameForm, Ziza]
-
A.
Ziza
chosen
Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
-
B.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
C.
Zogoiby
Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
-
D.
Girga
Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
-
E.
Chivi
Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea77a3588190accf31860170f052 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a2ba748190890c2980ca4a8ecd |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:56 p.m.