Triple
T12373700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITS |
E295065
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ITS |
unclear NED1
|
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: ITS | Statement: [ITS, shortName, ITS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITS Context triple: [ITS, shortName, ITS]
-
A.
ITS
ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
-
B.
ITS
ITS is an acronym commonly used to refer to an Integrated Training Service, typically denoting a coordinated system or provider that delivers comprehensive training solutions.
-
C.
ITS
ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
-
D.
IT
IT is the ISO 3166-1 alpha-2 country code for Italy, a Southern European nation known for its rich history, art, and cultural heritage.
-
E.
IT
IT is the disembodied, all-controlling brain on the planet Camazotz in *A Wrinkle in Time*, embodying oppressive conformity and mind control.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.