Triple
T15853258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AW family of helicopters |
E384391
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
AW series
The AW series is a family of AgustaWestland (now Leonardo) helicopters encompassing a range of modern civil and military rotorcraft models.
|
E1179415
|
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: AW series | Statement: [AW family of helicopters, hasAbbreviation, AW series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AW series Context triple: [AW family of helicopters, hasAbbreviation, AW series]
-
A.
ARA
ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
-
B.
ARA
ARA is the ICAO airline designator assigned to Arik Air, a Nigerian commercial airline.
-
C.
ARA
ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
-
D.
ARA
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
-
E.
Blue series
Blue series is a sequence of abstract monochrome paintings by Yves Klein that explore variations of his signature deep ultramarine hue.
- 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: AW series Triple: [AW family of helicopters, hasAbbreviation, AW series]
Generated description
The AW series is a family of AgustaWestland (now Leonardo) helicopters encompassing a range of modern civil and military rotorcraft models.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AW series Target entity description: The AW series is a family of AgustaWestland (now Leonardo) helicopters encompassing a range of modern civil and military rotorcraft models.
-
A.
ARA
ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
-
B.
ARA
ARA is the ICAO airline designator assigned to Arik Air, a Nigerian commercial airline.
-
C.
ARA
ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
-
D.
ARA
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
-
E.
Blue series
Blue series is a sequence of abstract monochrome paintings by Yves Klein that explore variations of his signature deep ultramarine hue.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14caddd2c8190859b2926b0e1ad35 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa147bce481909fb6f6ef2793a5a8 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.