Triple
T22110759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 2261 |
E546408
|
entity |
| Predicate | variationTimescale |
P69843
|
FINISHED |
| Object | weeks to months |
—
|
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: weeks to months | Statement: [NGC 2261, variationTimescale, weeks to months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variationTimescale Context triple: [NGC 2261, variationTimescale, weeks to months]
-
A.
timeScaleOfChange
chosen
Indicates the characteristic rate or temporal scale over which a change, process, or transition occurs.
-
B.
timeScaleType
Indicates the type or category of temporal scaling applied to an event, process, or measurement (e.g., real-time, accelerated, aggregated).
-
C.
timeScaleCategory
Indicates the classification of an event or process based on the temporal scale or duration over which it occurs.
-
D.
timescale
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
-
E.
timeDilationLevel
Indicates the degree to which time is experienced as slowed down or sped up for an entity relative to a reference frame.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12948c2ec819083340787b2062649 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.