Triple
T22504228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenith |
E556346
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Carat |
—
|
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: Carat | Statement: [Zenith, hasCompetitor, Carat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carat Context triple: [Zenith, hasCompetitor, Carat]
-
A.
Carat
chosen
Carat is Fiserv’s omnichannel commerce and payments platform designed to help large enterprises unify and optimize payment experiences across channels and markets.
-
B.
Karat
Karat is a technical interviewing and hiring platform that helps companies efficiently assess and recruit software engineering talent.
-
C.
Diamonds
The Diamonds are the Australian national netball team, one of the world’s leading sides and frequent champions in major international netball competitions.
-
D.
Diamonds
"Diamonds" is a 2012 pop and R&B ballad by Rihanna that became one of her signature global hit singles.
-
E.
Diamonds
"Diamonds" is a novel by Yiddish writer Esther Kreitman that explores Jewish life, family tensions, and social change in early 20th-century Eastern Europe.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ac5808190a66f9111c350f4dc |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.