Triple
T2209462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venetian Causeway |
E50879
|
entity |
| Predicate | hasDrawbridge |
P37482
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Venetian Causeway, hasDrawbridge, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrawbridge Context triple: [Venetian Causeway, hasDrawbridge, yes]
-
A.
hasPassengerBridge
Indicates that one entity is connected to another by a bridge or walkway specifically designed for passengers to move between them.
-
B.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
-
C.
hasFootbridge
Indicates that there exists a footbridge providing a pedestrian connection between the related entities.
-
D.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
E.
hasBridgeTunnel
Indicates that there exists a bridge or tunnel connection between two locations or structures.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc1b912c08190b9d7bc9230e49d1d |
completed | March 7, 2026, 6:12 a.m. |
Created at: March 4, 2026, 7:46 p.m.