Triple
T11035694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJCAR |
E260877
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | IJCAR |
E260877
|
NE 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: IJCAR | Statement: [IJCAR, abbreviation, IJCAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJCAR Context triple: [IJCAR, abbreviation, IJCAR]
-
A.
IJCAR
chosen
IJCAR (International Joint Conference on Automated Reasoning) is a major international conference that brings together several leading events in automated reasoning into a single unified forum.
-
B.
IJCAI conference
The IJCAI conference is a premier international academic conference focused on advancing research in artificial intelligence.
-
C.
Journal of Automated Reasoning
The Journal of Automated Reasoning is a peer-reviewed academic journal focusing on research in automated reasoning, formal methods, and related areas of computer science and logic.
-
D.
Conference on Automated Deduction
The Conference on Automated Deduction (CADE) is a leading international research conference focused on the theory and applications of automated reasoning and formal deduction in computer science and mathematics.
-
E.
Logical Methods in Computer Science
Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e839e88190957c2eabf260c203 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9b70074819084c725c5babf2fb7 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.