Triple
T29435524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League (DCEU team) |
E746560
|
entity |
| Predicate | statusDuringOpeningOf |
P55866
|
FINISHED |
| Object | operational |
—
|
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: operational | Statement: [Justice League (DCEU team), statusDuringOpeningOf, operational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringOpeningOf Context triple: [Justice League (DCEU team), statusDuringOpeningOf, operational]
-
A.
statusAtOpening
chosen
Indicates the condition or state something is in at the moment it is first opened or begins operation.
-
B.
openedDuring
Indicates that an entity began operating, became accessible, or was inaugurated within a specified time period or event.
-
C.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
D.
openingUsed
Indicates that a particular opening (such as a move sequence, strategy, or initial configuration) is employed or selected in a given context or instance.
-
E.
openAndAffirmingStatus
Indicates whether an organization explicitly identifies as welcoming and inclusive, particularly toward LGBTQ+ individuals, often within a religious or community context.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 28, 2026, 3:16 p.m.