Triple
T12368429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM TALLIP |
E294931
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | ACM Transactions on Asian and Low-Resource Language Information Processing |
E61020
|
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: ACM Transactions on Asian and Low-Resource Language Information Processing | Statement: [ACM TALLIP, fullName, ACM Transactions on Asian and Low-Resource Language Information Processing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Asian and Low-Resource Language Information Processing Context triple: [ACM TALLIP, fullName, ACM Transactions on Asian and Low-Resource Language Information Processing]
-
A.
ACM Transactions on Asian and Low-Resource Language Information Processing
chosen
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.
-
B.
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing is a leading peer-reviewed journal covering research and advances in audio, speech, and natural language signal processing.
-
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.
Association for Computational Linguistics
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.
-
E.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa65a608190a1597a49751185a8 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abdad1c8190b083791d60138f2a |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.