Triple
T3475273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUI fly Netherlands |
E73358
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | OR |
E6496
|
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: OR | Statement: [TUI fly Netherlands, IATAcode, OR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OR Context triple: [TUI fly Netherlands, IATAcode, OR]
-
A.
OR
chosen
OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
-
B.
ORS
ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
-
C.
ORR
ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
-
D.
OAR
OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
-
E.
OAR
OAR is the research arm of the U.S. National Oceanic and Atmospheric Administration that advances understanding and prediction of the ocean and atmosphere.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb593a388190b7786190deba96ed |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681586788190ade529f584b76396 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.