Triple
T14317145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.2d |
E354985
|
entity |
| Predicate | precedesSeriesAbbreviation |
P13316
|
FINISHED |
| Object | A.3d |
—
|
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: A.3d | Statement: [A.2d, precedesSeriesAbbreviation, A.3d]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesSeriesAbbreviation Context triple: [A.2d, precedesSeriesAbbreviation, A.3d]
-
A.
previousAbbreviation
Indicates that one abbreviation was used earlier or previously in place of another for the same entity or term.
-
B.
predecessorSeries
chosen
Indicates that one series directly precedes another in an ordered sequence or lineage.
-
C.
precedesNumeral
Indicates that one numeral comes before another numeral in a specified ordering or sequence.
-
D.
precedesLetter
Indicates that one letter comes immediately before another letter in a specified ordering, such as the alphabet or a given sequence.
-
E.
precedesSingleReleaseYear
Indicates that one entity occurs or is released in a year that comes before the single release year of 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.