Triple
T9593956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aster 15 |
E231484
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Eurosam
Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
|
E809141
|
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: Eurosam | Statement: [Aster 15, manufacturer, Eurosam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurosam Context triple: [Aster 15, manufacturer, Eurosam]
-
A.
Euromos
Euromos was an ancient Greek city in the region of Caria in southwestern Asia Minor, noted especially for its well-preserved Temple of Zeus.
-
B.
Europa Reach
Europa Reach is a specific waterway or passage within the Douglas Channel system, likely serving as one of its navigable reaches along the British Columbia coast.
-
C.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
D.
Mosina
Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
-
E.
Ilster
The Ilster is a small river in Lower Saxony, Germany, known as one of the headwater streams contributing to the Örtze river system.
- 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: Eurosam Triple: [Aster 15, manufacturer, Eurosam]
Generated description
Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eurosam Target entity description: Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
-
A.
Euromos
Euromos was an ancient Greek city in the region of Caria in southwestern Asia Minor, noted especially for its well-preserved Temple of Zeus.
-
B.
Europa Reach
Europa Reach is a specific waterway or passage within the Douglas Channel system, likely serving as one of its navigable reaches along the British Columbia coast.
-
C.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
D.
Mosina
Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
-
E.
Ilster
The Ilster is a small river in Lower Saxony, Germany, known as one of the headwater streams contributing to the Örtze river system.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a134b0c81908a568e5d2ecfbb92 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161938e108190aea76d528f9208a2 |
completed | April 4, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69d1624400b8819085b1c1a93cddc3f6 |
completed | April 4, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d162b39c888190ae71b05ee2e132a8 |
completed | April 4, 2026, 7:12 p.m. |
Created at: March 30, 2026, 8:07 p.m.