Triple
T11003721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACL |
E260060
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Association for Computational Linguistics |
E899029
|
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: Association for Computational Linguistics | Statement: [ACL, sponsor, Association for Computational Linguistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Association for Computational Linguistics Context triple: [ACL, sponsor, Association for Computational Linguistics]
-
A.
Association for Computational Linguistics
chosen
The Association for Computational Linguistics is a leading international scientific and professional organization dedicated to advancing research and development in natural language processing and computational linguistics.
-
B.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
C.
Annual Meeting of the Association for Computational Linguistics
The Annual Meeting of the Association for Computational Linguistics is a premier international conference that showcases cutting-edge research in natural language processing and computational linguistics.
-
D.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
E.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797553c408190b8dca21250243479 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a97587708190bf31976a3fbc1015 |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:25 p.m.