Triple
T6363222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Jordanian |
E143161
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | RJ |
E143159
|
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: RJ | Statement: [Royal Jordanian, IATACode, RJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RJ Context triple: [Royal Jordanian, IATACode, RJ]
-
A.
RJ
chosen
RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
-
B.
RJT
RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
-
C.
RJT
RJT is the station code for Rajkot Junction, a major railway station serving the city of Rajkot in Gujarat, India.
-
D.
JRB
JRB is the IATA airport code for the Wall Street Heliport serving lower Manhattan in New York City.
-
E.
JR
JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680d51a4819098a6bcd3dfd73be4 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d73a6ac8190a02602c3506e4226 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.