Triple
T13143729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCQP |
E312281
|
entity |
| Predicate | associatedIATAcode |
P2569
|
FINISHED |
| Object | ZCO |
E312280
|
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: ZCO | Statement: [SCQP, associatedIATAcode, ZCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZCO Context triple: [SCQP, associatedIATAcode, ZCO]
-
A.
ZCO
chosen
ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
-
B.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
-
C.
ZOC
ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
-
D.
ZCS
ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
-
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 (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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d809948190aced5ce377402463 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:10 p.m.