Triple
T4315876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Water Canal |
E96388
|
entity |
| Predicate | hasRoadBridges |
P386
|
FINISHED |
| Object | Sheikh Zayed Road bridge |
—
|
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: Sheikh Zayed Road bridge | Statement: [Dubai Water Canal, hasRoadBridges, Sheikh Zayed Road bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadBridges Context triple: [Dubai Water Canal, hasRoadBridges, Sheikh Zayed Road bridge]
-
A.
hasNumberOfBridges
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
-
B.
hasMajorBridge
chosen
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
C.
hasBridgeOrStructure
Indicates that there exists a bridge or similar structural connection between the related entities.
-
D.
bridges
Indicates that one entity connects or links two or more other entities, allowing passage, transition, or interaction between them.
-
E.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f60dfc819098202b7eb3bbf402 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.