Triple
T37171039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You for the Music (ABBA box set) |
E920909
|
entity |
| Predicate | basedOnRecordingsFromYears |
P106874
|
FINISHED |
| Object | 1972–1982 |
—
|
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: 1972–1982 | Statement: [Thank You for the Music (ABBA box set), basedOnRecordingsFromYears, 1972–1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnRecordingsFromYears Context triple: [Thank You for the Music (ABBA box set), basedOnRecordingsFromYears, 1972–1982]
-
A.
basedOnRecordingsFrom
chosen
Indicates that something is derived, constructed, or determined using information obtained from specific recordings.
-
B.
basedOnYear
Indicates that something is determined, derived, or organized according to a specific year.
-
C.
basedOnEarlierRecordingBy
Indicates that one recording is derived from, adapted from, or otherwise created using an earlier recording as its source or foundation.
-
D.
isOftenRecordedOn
Indicates that something is frequently documented, captured, or stored using a particular medium, format, or recording method.
-
E.
recordedBetween
Indicates that an event or data item was recorded at a time that falls within a specified start and end time interval.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: May 3, 2026, 4:15 p.m.