Triple
T25291408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Bridge |
E634092
|
entity |
| Predicate | handDesign |
P158440
|
FINISHED |
| Object | supporting the walkway |
—
|
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: supporting the walkway | Statement: [Golden Bridge, handDesign, supporting the walkway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handDesign Context triple: [Golden Bridge, handDesign, supporting the walkway]
-
A.
handDesign
Indicates that one entity has created or is responsible for the design of another entity by hand.
-
B.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
C.
handColor
Indicates that one entity has a specified color associated with its hand or hands.
-
D.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
E.
handCondition
Indicates the state or quality of a hand, such as its health, functionality, or any specific condition affecting it.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fce2f548190a412ae2b6c7d73f6 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:22 p.m.