Triple
T16344653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heathrow Runway 09L/27R |
E396898
|
entity |
| Predicate | isConfiguredAs |
P13644
|
FINISHED |
| Object | left-hand runway for easterly operations |
—
|
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: left-hand runway for easterly operations | Statement: [Heathrow Runway 09L/27R, isConfiguredAs, left-hand runway for easterly operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConfiguredAs Context triple: [Heathrow Runway 09L/27R, isConfiguredAs, left-hand runway for easterly operations]
-
A.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
B.
partlyConfiguredAs
Indicates that one entity is only partially set up, arranged, or defined to function as another entity or in another role.
-
C.
isZeroConfiguration
Indicates that something requires no manual setup or configuration to function correctly.
-
D.
oftenConfiguredAs
Indicates that one entity is frequently set up, arranged, or used in the form or role of another entity.
-
E.
appliesToConfiguration
Indicates that something (such as a rule, setting, or operation) is relevant to, affects, or is intended for a particular configuration.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0da1808190b6477613a07c7a88 |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.