Triple
T201336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ames Research Center 80-by-120-Foot Wind Tunnel |
E4510
|
entity |
| Predicate | testSectionHeight |
P8231
|
FINISHED |
| Object | 120 feet |
—
|
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: 120 feet | Statement: [Ames Research Center 80-by-120-Foot Wind Tunnel, testSectionHeight, 120 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSectionHeight Context triple: [Ames Research Center 80-by-120-Foot Wind Tunnel, testSectionHeight, 120 feet]
-
A.
currentHeight
Indicates the present vertical measurement or elevation of an entity at a given point in time.
-
B.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
C.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
D.
testTowerHeight
Indicates that an entity measures or evaluates the height of a tower.
-
E.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
- F. None of above. chosen
Provenance (4 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.