Triple
T12368308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM Transactions on Internet Technology |
E294928
|
entity |
| Predicate | standardAbbreviation |
P43
|
FINISHED |
| Object | TOIT |
E294928
|
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: TOIT | Statement: [ACM Transactions on Internet Technology, standardAbbreviation, TOIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOIT Context triple: [ACM Transactions on Internet Technology, standardAbbreviation, TOIT]
-
A.
TOIT
chosen
TOIT is the standard abbreviation for ACM Transactions on Internet Technology, a peer-reviewed scholarly journal focusing on research in internet and web technologies.
-
B.
TIOH
TIOH is the commonly used acronym for the United States Army Institute of Heraldry, the organization responsible for designing and overseeing official military symbols, insignia, and heraldic items for the U.S. Army and other federal agencies.
-
C.
Toive
Toive is a Finnish given name, notably borne by Toive Torvalds.
-
D.
La To
La To is a Vietnamese deity venerated as a patron of medicine and physicians.
-
E.
TIT
TIT is a leading Japanese national research university in Tokyo renowned for its strong programs in science, engineering, and technology.
- 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_69d93fa502988190ba170dee90d9f394 |
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.