Triple
T6318319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omotesando Hills |
E141669
|
entity |
| Predicate | hasFacadeLength |
P62876
|
FINISHED |
| Object | approximately 250 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 250 meters | Statement: [Omotesando Hills, hasFacadeLength, approximately 250 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacadeLength Context triple: [Omotesando Hills, hasFacadeLength, approximately 250 meters]
-
A.
hasUpperBarLength
Indicates that an entity possesses an upper bar whose length is specified or constrained by the related value or object.
-
B.
hasLowerBarLength
Indicates that one entity’s bar length is shorter than the bar length of another entity.
-
C.
facadeFeature
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
D.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
-
E.
hasPierLength
chosen
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.