Triple
T7736174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cluj-Napoca |
E175386
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object | CLJ |
E670454
|
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: CLJ | Statement: [Cluj-Napoca, airportIATA, CLJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLJ Context triple: [Cluj-Napoca, airportIATA, CLJ]
-
A.
CLJ
chosen
CLJ is the IATA airport code for Cluj International Airport serving the city of Cluj-Napoca in Romania.
-
B.
LCJ
LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
-
C.
CJC
CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
-
D.
CJC
CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
-
E.
CJO
CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035923108190842025631e2314cc |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be355e04819088598b5c7d61b848 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:06 p.m.