Triple
T30005832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flame 2000 (remix) |
E762310
|
entity |
| Predicate | circa |
P168321
|
FINISHED |
| Object | late 1990s |
—
|
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: late 1990s | Statement: [The Flame 2000 (remix), circa, late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circa Context triple: [The Flame 2000 (remix), circa, late 1990s]
-
A.
circaPeriodDescribed
chosen
Indicates that an entity is associated with or described as belonging to an approximate time period rather than an exact date.
-
B.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
C.
circaLength
Indicates that one entity has an approximate or estimated length relative to a specified value or measure.
-
D.
circaDuration
Indicates an approximate or uncertain duration of time associated with an event, state, or relationship.
-
E.
circaComposition
Indicates that one entity was composed or created around, but not exactly on, the time associated with another entity.
- 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6795282648190a8351e4cbace98d3 |
completed | May 2, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:42 p.m.