Triple
T661418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Orly Airport |
E11762
|
entity |
| Predicate | terminal |
P11513
|
FINISHED |
| Object | Orly 1-2-3 |
E65659
|
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: Orly 1-2-3 | Statement: [Paris Orly Airport, terminal, Orly 1-2-3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orly 1-2-3 Context triple: [Paris Orly Airport, terminal, Orly 1-2-3]
-
A.
Orly
chosen
Orly is a commune in the southern suburbs of Paris, France, best known for giving its name to the nearby Paris Orly Airport.
-
B.
Orit
Orit is the traditional biblical canon of Ethiopian Jews, encompassing their sacred scriptures and guiding religious teachings.
-
C.
Yallahs
Yallahs is a coastal town in southeastern Jamaica known for its proximity to Kingston and its role as a local commercial and residential center in St. Thomas Parish.
-
D.
The Egg
The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
-
E.
The Toy
The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa954988190841740a587ace466 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3963c588190b7116f3f7aad2687 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.