Triple
T5344178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aira Force |
E124011
|
entity |
| Predicate | hasNumberOfMainBridges |
P63140
|
FINISHED |
| Object | two |
—
|
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: two | Statement: [Aira Force, hasNumberOfMainBridges, two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMainBridges Context triple: [Aira Force, hasNumberOfMainBridges, two]
-
A.
hasNumberOfBridges
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
-
B.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
C.
bridgeSpans
Indicates that a bridge extends across and connects two separate points or areas.
-
D.
hasPassengerBridge
Indicates that one entity is connected to another by a bridge or walkway specifically designed for passengers to move between them.
-
E.
bridges
Indicates that one entity connects or links two or more other entities, allowing passage, transition, or interaction between them.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ea5e748190a9943de794e5c1ec |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2:01 p.m.