Triple
T13068647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimarata Nikki Randhawa |
E329394
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nimarata |
E329392
|
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: Nimarata | Statement: [Nimarata Nikki Randhawa, givenName, Nimarata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimarata Context triple: [Nimarata Nikki Randhawa, givenName, Nimarata]
-
A.
Nimarata
chosen
Nimarata is the birth name of American politician Nikki Haley, who served as U.S. ambassador to the United Nations and governor of South Carolina.
-
B.
Nimari
Nimari is an Indo-Aryan language spoken primarily in the Nimar region of the Indian state of Madhya Pradesh.
-
C.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
D.
Nimruz
Nimruz is a city in southwestern Afghanistan that serves as the capital of Nimruz Province and an important regional center near the borders with Iran and Pakistan.
-
E.
Nurata
Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9 p.m.