Triple
T2928457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TBL |
E78900
|
entity |
| Predicate | conferenceTitlesCount |
P19825
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [TBL, conferenceTitlesCount, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceTitlesCount Context triple: [TBL, conferenceTitlesCount, multiple]
-
A.
conferenceTitleCount
chosen
Indicates the number of distinct conference titles associated with a given entity or context.
-
B.
conferenceTitles
Indicates a relationship where one entity (such as a conference event or series) is associated with the titles under which it is or has been held.
-
C.
conferenceTitlesInSport
Indicates that the subject has won or holds conference titles within a particular sport.
-
D.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
-
E.
conferenceAtTheTime
Indicates that an event or situation occurs during the time period in which a specified conference is taking place.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97ff0ddc8190acba9863bbe4f54b |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.