Triple
T22486282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta 1998 |
E555886
|
entity |
| Predicate | hasTitleYearReference |
P33319
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Atlanta 1998, hasTitleYearReference, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleYearReference Context triple: [Atlanta 1998, hasTitleYearReference, 1998]
-
A.
hasYearInTitle
chosen
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
B.
titleYear
Indicates the specific year associated with the release, publication, or official designation of a given title.
-
C.
EuroTitleYear
Indicates the year in which an entity received or held a specific European title or championship.
-
D.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
-
E.
yearOfReference
Indicates the specific year to which a statement, measurement, or data point is intended to apply or be interpreted with reference.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3c6d808190b6dc70c3d1985bf3 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.