Triple
T16920500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariane 1 |
E410431
|
entity |
| Predicate | firstLaunchPayload |
P12519
|
FINISHED |
| Object |
CAT-1
CAT-1 was a small French technological test satellite launched to validate systems and performance during the early Ariane 1 rocket program.
|
E1240666
|
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: CAT-1 | Statement: [Ariane 1, firstLaunchPayload, CAT-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAT-1 Context triple: [Ariane 1, firstLaunchPayload, CAT-1]
-
A.
TCAT
TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
-
B.
CA-1
CA-1 is a major Guatemalan highway that forms part of the Pan-American Highway system, connecting key regions across the country.
-
C.
CA-1
CA-1 is a major California state highway running along much of the Pacific coastline, renowned for its scenic ocean views and coastal access.
-
D.
CA-1
CA-1 is a major Salvadoran highway route that forms part of the country’s primary road network and the broader Central American highway system.
-
E.
CA/T
CA/T is the commonly used abbreviation for Boston’s Central Artery/Tunnel Project, better known as the “Big Dig,” a massive highway and tunnel construction megaproject.
- 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: CAT-1 Triple: [Ariane 1, firstLaunchPayload, CAT-1]
Generated description
CAT-1 was a small French technological test satellite launched to validate systems and performance during the early Ariane 1 rocket program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAT-1 Target entity description: CAT-1 was a small French technological test satellite launched to validate systems and performance during the early Ariane 1 rocket program.
-
A.
TCAT
TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
-
B.
CA-1
CA-1 is a major Guatemalan highway that forms part of the Pan-American Highway system, connecting key regions across the country.
-
C.
CA-1
CA-1 is a major Salvadoran highway route that forms part of the country’s primary road network and the broader Central American highway system.
-
D.
CA-1
CA-1 is a major California state highway running along much of the Pacific coastline, renowned for its scenic ocean views and coastal access.
-
E.
CA/T
CA/T is the commonly used abbreviation for Boston’s Central Artery/Tunnel Project, better known as the “Big Dig,” a massive highway and tunnel construction megaproject.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdee252c81908621b2ca897416e9 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c8f445248190be5f3de196e40f1f |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00cd2bbd9881909f5e216cb6262a72 |
completed | May 10, 2026, 6:23 p.m. |
Created at: April 10, 2026, 5:30 a.m.