Triple
T3548947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Technology Telescope |
E75063
|
entity |
| Predicate | enclosureType |
P4152
|
FINISHED |
| Object | innovative compact building with windscreen and co-rotating dome |
—
|
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: innovative compact building with windscreen and co-rotating dome | Statement: [New Technology Telescope, enclosureType, innovative compact building with windscreen and co-rotating dome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enclosureType Context triple: [New Technology Telescope, enclosureType, innovative compact building with windscreen and co-rotating dome]
-
A.
enclosureWallHeight
Indicates the height of the wall that forms the boundary or enclosure around an area or structure.
-
B.
cabinetType
Indicates the specific kind or category of cabinet associated with an entity.
-
C.
chamberType
chosen
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
D.
doorType
Indicates the specific kind or category of door associated with an entity.
-
E.
typeOfInstallation
Indicates the specific kind or category of installation associated with an entity (e.g., how or in what form something is installed).
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd278348190ad2fa54f4a423541 |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.