Triple
T3425422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PLDI |
E72217
|
entity |
| Predicate | isPremierConferenceIn |
P48640
|
FINISHED |
| Object | programming languages |
—
|
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: programming languages | Statement: [PLDI, isPremierConferenceIn, programming languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPremierConferenceIn Context triple: [PLDI, isPremierConferenceIn, programming languages]
-
A.
isOneOfTwoConferencesIn
Indicates that something is one of exactly two conferences that take place in a specified location or context.
-
B.
hasPremier
Indicates that an entity has a specific individual serving as its premier (head of government).
-
C.
isTopLevelLeagueIn
Indicates that a sports league is the highest (top-tier) competitive level within a specified country or region.
-
D.
isConferenceGame
Indicates that a particular game is played between teams within the same athletic conference and counts toward conference standings.
-
E.
isFootballOnlyConference
Indicates that the conference is dedicated exclusively to football and does not sponsor other sports.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb97fa2d88190a79cb8c7be4b3696 |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.