Triple
T107655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orly Airport |
E2174
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object |
Orly 3
Orly 3 is one of the main passenger terminals at Paris Orly Airport, serving as a hub for check-in, boarding, and arrivals operations.
|
E12414
|
NE FINISHED |
How this triple was built (4 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 3 | Statement: [Orly Airport, hasTerminal, Orly 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orly 3 Context triple: [Orly Airport, hasTerminal, Orly 3]
-
A.
Orly 2
Orly 2 is one of the main passenger terminals at Paris Orly Airport, serving as a hub for various domestic and international flights.
-
B.
Orly 1
Orly 1 is one of the passenger terminals at Paris Orly Airport, serving as a key facility for check-in, boarding, and arrivals operations.
-
C.
Overload
"Overload" is a song by the Christian rock band Darkness and Light, likely featuring their characteristic blend of heavy guitar-driven sound and spiritually themed lyrics.
-
D.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
E.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orly 3 Triple: [Orly Airport, hasTerminal, Orly 3]
Generated description
Orly 3 is one of the main passenger terminals at Paris Orly Airport, serving as a hub for check-in, boarding, and arrivals operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orly 3 Target entity description: Orly 3 is one of the main passenger terminals at Paris Orly Airport, serving as a hub for check-in, boarding, and arrivals operations.
-
A.
Orly 2
Orly 2 is one of the main passenger terminals at Paris Orly Airport, serving as a hub for various domestic and international flights.
-
B.
Orly 1
Orly 1 is one of the passenger terminals at Paris Orly Airport, serving as a key facility for check-in, boarding, and arrivals operations.
-
C.
Overload
"Overload" is a song by the Christian rock band Darkness and Light, likely featuring their characteristic blend of heavy guitar-driven sound and spiritually themed lyrics.
-
D.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
E.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
- F. None of above. chosen
Provenance (5 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256cac6d4819083b50c9c9d95e975 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284fed06c81909df34f4227f26e7d |
completed | Feb. 28, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69a288901eb48190a733530e6e416f7b |
completed | Feb. 28, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a28938f67c8190826c5cfeebd9e0f3 |
completed | Feb. 28, 2026, 6:20 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.