Triple
T11035710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJCAR |
E260877
|
entity |
| Predicate | isJointEventOf |
P96619
|
FINISHED |
| Object | multiple automated reasoning communities |
—
|
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 automated reasoning communities | Statement: [IJCAR, isJointEventOf, multiple automated reasoning communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJointEventOf Context triple: [IJCAR, isJointEventOf, multiple automated reasoning communities]
-
A.
isLinkedToEvent
Indicates that an entity has an association or connection with a specific event.
-
B.
meetsForEvent
chosen
Indicates that two or more entities come together at the same place and time specifically to participate in a particular event.
-
C.
alsoMetAt
Indicates that the same entities met together at an additional, distinct place or event beyond a previously mentioned meeting location.
-
D.
arePartyTo
Indicates that the entities are participants or signatories in the same agreement, contract, or legal arrangement.
-
E.
mayBeJointBetween
Indicates that two or more entities might potentially form or participate in a joint relationship, without asserting that the joint relationship definitely exists.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e839e88190957c2eabf260c203 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.