Triple
T14272527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Airport |
E353825
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | YORG |
E191545
|
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: YORG | Statement: [Orange Airport, hasICAOCode, YORG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YORG Context triple: [Orange Airport, hasICAOCode, YORG]
-
A.
Yorgi
Yorgi is the main Russian crime lord and antagonist in the action film "xXx," portrayed by actor Marton Csokas.
-
B.
Yuri-G
Yuri-G is a song featured on PJ Harvey’s critically acclaimed 1993 album "Rid of Me."
-
C.
YUG
YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
-
D.
Yoff
Yoff is a coastal commune and suburb of Dakar, Senegal, known for its fishing community and beaches along the Atlantic Ocean.
-
E.
Yoron
chosen
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de65811d7c8190b075909a6570d415 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326a5aec8190b139a0c49fd43705 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.