Triple
T9819047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakagin Capsule Tower |
E238479
|
entity |
| Predicate | hasRoundWindowDiameter |
P90172
|
FINISHED |
| Object | approximately 1.3 meters |
—
|
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: approximately 1.3 meters | Statement: [Nakagin Capsule Tower, hasRoundWindowDiameter, approximately 1.3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoundWindowDiameter Context triple: [Nakagin Capsule Tower, hasRoundWindowDiameter, approximately 1.3 meters]
-
A.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
-
B.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
-
C.
coreStageDiameter
Indicates the diameter measurement of the central or primary stage of an object or system.
-
D.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
-
E.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:31 p.m.