Triple
T4775093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylink people mover system |
E106024
|
entity |
| Predicate | numberOfLoops |
P25594
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Skylink people mover system, numberOfLoops, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLoops Context triple: [Skylink people mover system, numberOfLoops, 2]
-
A.
repetitionCount
chosen
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
-
B.
loopType
Indicates the specific kind or category of loop structure or iteration pattern used in a process or control flow.
-
C.
opusNumberOfCycle
Indicates that a specific opus number identifies or is assigned to a particular musical cycle.
-
D.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
E.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6584481081908f1041a8827e0b42 |
completed | March 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.