Triple
T4170679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time rotor |
E84553
|
entity |
| Predicate | operationalStateIndicator |
P8487
|
FINISHED |
| Object | moves when the TARDIS is travelling |
—
|
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: moves when the TARDIS is travelling | Statement: [Time rotor, operationalStateIndicator, moves when the TARDIS is travelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalStateIndicator Context triple: [Time rotor, operationalStateIndicator, moves when the TARDIS is travelling]
-
A.
operatingStatus
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
B.
numberOperational
Indicates that an entity is currently functioning and available for use in its intended operational capacity.
-
C.
fullyOperationalBy
Indicates that an entity is expected or required to be completely functional and ready for use no later than a specified time or event.
-
D.
statusIndicates
chosen
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
E.
automationStatus
Indicates whether a process, task, or system is being performed automatically or requires manual intervention.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.