Triple
T5323078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 15/33 at London International Airport |
E121719
|
entity |
| Predicate | lengthFeet |
P266
|
FINISHED |
| Object | 8800 |
—
|
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: 8800 | Statement: [Runway 15/33 at London International Airport, lengthFeet, 8800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthFeet Context triple: [Runway 15/33 at London International Airport, lengthFeet, 8800]
-
A.
heightFeet
Indicates a relationship where a subject has its vertical size or stature specified in feet as a unit of measurement.
-
B.
heightApproximateFeet
Indicates that one entity’s height is approximately equal to a specified value measured in feet.
-
C.
depthFeetApprox
Indicates an approximate measurement of an entity’s depth expressed in feet.
-
D.
bedLength
Indicates the measurement of how long a bed is from one end to the other.
-
E.
length
chosen
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.