Triple
T7664755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMIX |
E173597
|
entity |
| Predicate | introducedInPublicationYear |
P78646
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [MMIX, introducedInPublicationYear, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInPublicationYear Context triple: [MMIX, introducedInPublicationYear, 1999]
-
A.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
B.
reintroducedInYear
Indicates that an entity, previously absent or discontinued, was brought back or reinstated in a specified year.
-
C.
firstStandardPublicationYear
Indicates the year in which an entity’s work was first formally published according to a recognized standard or official publication record.
-
D.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
E.
proposedInYear
Indicates that something, such as a plan, idea, or piece of legislation, was formally put forward or suggested in a specific calendar year.
- F. None of above. chosen
Provenance (4 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7063cfd78819095c6501fe8d57312 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 4 p.m.