Triple
T6086726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilo International Airport |
E135656
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ITO
ITO is the IATA airport code for Hilo International Airport, the primary commercial airport serving Hilo on Hawaii’s Big Island.
|
E566471
|
NE FINISHED |
How this triple was built (4 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: [Hilo International Airport, IATAcode, ITO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITO Context triple: [Hilo International Airport, IATAcode, ITO]
-
A.
ITO
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.
ITER
ITER is a large international nuclear fusion research project in France aiming to demonstrate the feasibility of fusion power as a large-scale, carbon-free energy source.
-
C.
ITH
ITH is the three-letter IATA airport code for Ithaca Tompkins International Airport serving the Ithaca, New York area.
-
D.
I2O
I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
-
E.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ITO Triple: [Hilo International Airport, IATAcode, ITO]
Generated description
ITO is the IATA airport code for Hilo International Airport, the primary commercial airport serving Hilo on Hawaii’s Big Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ITO Target entity description: ITO is the IATA airport code for Hilo International Airport, the primary commercial airport serving Hilo on Hawaii’s Big Island.
-
A.
ITO
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.
ITER
ITER is a large international nuclear fusion research project in France aiming to demonstrate the feasibility of fusion power as a large-scale, carbon-free energy source.
-
C.
ITH
ITH is the three-letter IATA airport code for Ithaca Tompkins International Airport serving the Ithaca, New York area.
-
D.
I2O
I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
-
E.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
- F. None of above. chosen
Provenance (5 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578a8b8081908490e447ae3419f9 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d60e824819098a9f5fc5cc00be4 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11e4454948190a8f4643cb55e673a |
completed | March 23, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ec554688190bfe184608944a15e |
completed | March 23, 2026, 11:06 a.m. |
Created at: March 22, 2026, 4:12 p.m.