Triple
T3459449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAR |
E72987
|
entity |
| Predicate | relatedAirportCode |
P17503
|
FINISHED |
| Object | ORY |
E10907
|
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: ORY | Statement: [PAR, relatedAirportCode, ORY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORY Context triple: [PAR, relatedAirportCode, ORY]
-
A.
ORY
chosen
ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
-
B.
ORIA
ORIA is a division of the U.S. Environmental Protection Agency responsible for developing and implementing programs and regulations to protect the public from radiation and indoor air pollution.
-
C.
OR
OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
-
D.
URY
URY is the three-letter ISO 3166-1 alpha-3 country code assigned to Uruguay.
-
E.
ORI
ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae4c18881908b48d16e46f78209 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361093d288190a023e8485265a989 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.