Triple
T4267110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFO Bridge |
E96850
|
entity |
| Predicate | hasPylonCount |
P55085
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [UFO Bridge, hasPylonCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPylonCount Context triple: [UFO Bridge, hasPylonCount, 1]
-
A.
hasPylon
Indicates that one entity possesses, includes, or is equipped with a pylon as part of its structure or configuration.
-
B.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
-
C.
hasCentralPylonHeight
Indicates the height measurement of the central pylon in a structure or system.
-
D.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
E.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fce710481909d90ed4a3d150fde |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.