Triple
T26808281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianjin Metro Line Z6 |
E671906
|
entity |
| Predicate | hasPlannedOpeningStatus |
P24929
|
FINISHED |
| Object | not yet in service |
—
|
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: not yet in service | Statement: [Tianjin Metro Line Z6, hasPlannedOpeningStatus, not yet in service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedOpeningStatus Context triple: [Tianjin Metro Line Z6, hasPlannedOpeningStatus, not yet in service]
-
A.
plannedOpeningDate
Indicates the date on which something is scheduled or intended to begin operating or become available.
-
B.
hasOpening
Indicates that one entity possesses or features an opening, gap, or entrance that allows access, passage, or exposure.
-
C.
hasPlanningStatus
chosen
Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
-
D.
isOpeningFor
Indicates that one entity serves as the beginning, introduction, or initial act for another entity, such as an event, performance, or sequence.
-
E.
hasOpeningCondition
Indicates that a relationship or action is subject to a specific initial condition that must be met before it can begin or take effect.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 4:27 a.m.