Triple
T107671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orly Airport |
E2174
|
entity |
| Predicate | beganMajorCivilUse |
P4017
|
FINISHED |
| Object | after World War II |
—
|
LITERAL 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: after World War II | Statement: [Orly Airport, beganMajorCivilUse, after World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganMajorCivilUse Context triple: [Orly Airport, beganMajorCivilUse, after World War II]
-
A.
periodOfMajorUse
chosen
Indicates the time span during which something was primarily or most intensively used.
-
B.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
C.
locationOfFirstCommercialUse
Indicates the place where something was first used commercially.
-
D.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
E.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
- F. None of above.
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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25a1199ac8190ac65ffaaf45b4f5b |
completed | Feb. 28, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69a2563e7188819091e9a94e071991d7 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.