Triple
T796658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burj Al Arab |
E17036
|
entity |
| Predicate | connectedToMainlandBy |
P19137
|
FINISHED |
| Object | private curving 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: private curving bridge | Statement: [Burj Al Arab, connectedToMainlandBy, private curving bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToMainlandBy Context triple: [Burj Al Arab, connectedToMainlandBy, private curving bridge]
-
A.
isSeparatedFromMainlandBy
Indicates that one land area is divided from the mainland by a specific intervening body or feature, such as water or terrain.
-
B.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
connectedToContinentByIsthmus
Indicates that one landmass is linked to a continent by a narrow strip of land (an isthmus) forming a physical connection between them.
-
D.
linkedByFerryTo
Indicates that one place is connected to another by a ferry route that enables transport between them.
-
E.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b172e88190a26d31c9075b81fb |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5122a008190b0c621b7bc588d41 |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5bed20c81909ecc28bf42594e72 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:38 p.m.