Triple
T5187268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAROM multiple rocket launcher |
E117062
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Aerostar
Aerostar is a Romanian defense company known for developing and producing military aerospace and land-based weapons systems.
|
E501902
|
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: Aerostar | Statement: [LAROM multiple rocket launcher, developer, Aerostar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aerostar Context triple: [LAROM multiple rocket launcher, developer, Aerostar]
-
A.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
B.
Cessna 402
The Cessna 402 is a twin-engine light aircraft commonly used for regional commuter, air taxi, and cargo operations due to its reliability and ability to serve short-haul routes.
-
C.
Sully Wing
Sully Wing is one of the main historic wings of the Louvre Museum in Paris, housing collections such as ancient Near Eastern antiquities and French paintings.
-
D.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
E.
Altior
Altior is a celebrated British National Hunt racehorse renowned for his exceptional unbeaten streak over fences and multiple Grade 1 victories.
- 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: Aerostar Triple: [LAROM multiple rocket launcher, developer, Aerostar]
Generated description
Aerostar is a Romanian defense company known for developing and producing military aerospace and land-based weapons systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aerostar Target entity description: Aerostar is a Romanian defense company known for developing and producing military aerospace and land-based weapons systems.
-
A.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
B.
Cessna 402
The Cessna 402 is a twin-engine light aircraft commonly used for regional commuter, air taxi, and cargo operations due to its reliability and ability to serve short-haul routes.
-
C.
Sully Wing
Sully Wing is one of the main historic wings of the Louvre Museum in Paris, housing collections such as ancient Near Eastern antiquities and French paintings.
-
D.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
E.
Altior
Altior is a celebrated British National Hunt racehorse renowned for his exceptional unbeaten streak over fences and multiple Grade 1 victories.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08807748190ae8f34a6e8875c15 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee66191dc8190847fe13f2cda0000 |
completed | March 21, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6e8bbcc819094f5f04743eb4013 |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.