Triple
T21146130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairlady Z (Z34) |
E521058
|
entity |
| Predicate | chassisCode |
P44383
|
FINISHED |
| Object | Z34 |
—
|
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: Z34 | Statement: [Fairlady Z (Z34), chassisCode, Z34]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z34 Context triple: [Fairlady Z (Z34), chassisCode, Z34]
-
A.
Z34
chosen
Z34 is the internal chassis code used by Nissan to designate the 370Z sports car generation produced from 2009 onward.
-
B.
4Z
4Z is the IATA airline designator for Airlink, a regional airline based in South Africa.
-
C.
Z3
Z3 is a high-performance theorem prover and SMT (Satisfiability Modulo Theories) solver developed by Microsoft Research, widely used in formal verification, program analysis, and automated reasoning.
-
D.
ZAH
ZAH is the IATA airport code for Zahedan International Airport in Zahedan, Iran.
-
E.
ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fdc25481909d6648e09b069c41 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.