Triple
T134134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity test site, New Mexico |
E2713
|
entity |
| Predicate | testTowerHeight |
P5015
|
FINISHED |
| Object | about 100 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: about 100 feet | Statement: [Trinity test site, New Mexico, testTowerHeight, about 100 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testTowerHeight Context triple: [Trinity test site, New Mexico, testTowerHeight, about 100 feet]
-
A.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
B.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
C.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
D.
antennaSpireHeight
Indicates the vertical measurement of an object's antenna or spire from its base to its highest point.
-
E.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25788b2688190a45b39447f702551 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.