Triple
T17345650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Isa Airport |
E421680
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
ISA
ISA is the IATA airport code for Mount Isa Airport in Queensland, Australia.
|
E423658
|
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: ISA | Statement: [Mount Isa Airport, IATACode, ISA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISA Context triple: [Mount Isa Airport, IATACode, ISA]
-
A.
ISA
ISA (Industry Standard Architecture) is an early computer bus standard used in IBM PCs and compatible systems to connect expansion cards and peripherals to the motherboard.
-
B.
ISA
ISA is the acronym for the International Seabed Authority, the intergovernmental organization responsible for regulating mineral-related activities in the international seabed area beyond national jurisdiction.
-
C.
ISA
ISA is the commonly used abbreviation for the Israel State Archives, the national repository for Israeli government records and historical documents.
-
D.
ISA
ISA is the commonly used abbreviation for Integrated Science Assessments, which are comprehensive evaluations of scientific data used to inform environmental and regulatory decisions.
-
E.
ISA
ISA is the abbreviated name of Japan’s Immigration Services Agency, the government body responsible for immigration control and residency management.
- 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: ISA Triple: [Mount Isa Airport, IATACode, ISA]
Generated description
ISA is the IATA airport code for Mount Isa Airport in Queensland, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ISA Target entity description: ISA is the IATA airport code for Mount Isa Airport in Queensland, Australia.
-
A.
ISA
chosen
ISA is the IATA airport code for Mount Isa Airport, a regional airport serving the mining city of Mount Isa in Queensland, Australia.
-
B.
ISA
ISA is the acronym for the International Seabed Authority, the intergovernmental organization responsible for regulating mineral-related activities in the international seabed area beyond national jurisdiction.
-
C.
ISA
ISA is the abbreviated name of Japan’s Immigration Services Agency, the government body responsible for immigration control and residency management.
-
D.
ISA
ISA is the commonly used abbreviation for Integrated Science Assessments, which are comprehensive evaluations of scientific data used to inform environmental and regulatory decisions.
-
E.
ISA
ISA is the commonly used abbreviation for the Israel State Archives, the national repository for Israeli government records and historical documents.
- F. None of above.
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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a286d34819080c5148c220fd5a1 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5be49c8190b27a4fe1df8e8ab6 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018ce8c6b481909c6c1a82364cbd90 |
completed | May 11, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018d7ad50881908f80152db524f0af |
completed | May 11, 2026, 8:04 a.m. |
Created at: April 10, 2026, 5:44 a.m.