Triple
T13922817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 10 (Beijing Subway) |
E334786
|
entity |
| Predicate | completionAsFullLoop |
P83959
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Line 10 (Beijing Subway), completionAsFullLoop, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completionAsFullLoop Context triple: [Line 10 (Beijing Subway), completionAsFullLoop, 2013]
-
A.
loopCompletableIn
chosen
Indicates that a process, sequence, or cycle can be fully completed and brought back to its starting point under the given conditions.
-
B.
completionPeriod
Indicates the time span within which an associated task, process, or obligation must be completed.
-
C.
closureCompleted
Indicates that a previously initiated closure process or shutdown has been fully and successfully completed.
-
D.
compositionCompleted
Indicates that the process of composing or creating something (such as a work, document, or piece) has been fully completed.
-
E.
completedAlongside
Indicates that one action, task, or process was completed at the same time and in coordination with another.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.