Triple
T4848752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITT Corporation |
E108357
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | ITT |
E108357
|
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: ITT | Statement: [ITT Corporation, alsoKnownAs, ITT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITT Context triple: [ITT Corporation, alsoKnownAs, ITT]
-
A.
NTT
NTT is a 3.58-meter optical telescope operated by the European Southern Observatory at La Silla Observatory in Chile, notable for pioneering active optics technology.
-
B.
ITT Corporation
chosen
ITT Corporation is a diversified American manufacturing and engineering company historically known for its involvement in telecommunications, defense, and industrial products.
-
C.
AT&T
AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
-
D.
ITS
ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
-
E.
ITS
ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d1c5594819094fe021d7717032d |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67da14d48190a994a11eb7a674b5 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.