Triple
T4212552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto Tecnológico de Orizaba |
E93937
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ITO |
E318625
|
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: ITO | Statement: [Instituto Tecnológico de Orizaba, abbreviation, ITO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITO Context triple: [Instituto Tecnológico de Orizaba, abbreviation, ITO]
-
A.
ITO
chosen
ITO refers to the proposed International Trade Organization, a post–World War II plan for a global body to regulate international trade that was never fully realized.
-
B.
ITH
ITH is the three-letter IATA airport code for Ithaca Tompkins International Airport serving the Ithaca, New York area.
-
C.
I2O
I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
-
D.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
E.
ETO
ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34be585848190b0b177b5516f53c1 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59631e2cc8190b1d125b82a81593e |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:04 p.m.