Triple
T3897331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish defense industry |
E90401
|
entity |
| Predicate | hasKeyActor |
P30416
|
FINISHED |
| Object |
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
|
E398610
|
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: Radwar | Statement: [Polish defense industry, hasKeyActor, Radwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radwar Context triple: [Polish defense industry, hasKeyActor, Radwar]
-
A.
Migdal
Migdal is an ancient town on the western shore of the Sea of Galilee in northern Israel, traditionally identified with the biblical Magdala and known as the hometown of Mary Magdalene.
-
B.
Shendam
Shendam is a historic town and local government area in central Nigeria known as one of the oldest settlements in Plateau State and a regional administrative and commercial center.
-
C.
Ascalon
Ascalon was an important ancient port city on the Mediterranean coast, strategically located in the southern Levant and frequently contested during the Crusades.
-
D.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
-
E.
Erechim
Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
- 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: Radwar Triple: [Polish defense industry, hasKeyActor, Radwar]
Generated description
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radwar Target entity description: Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
-
A.
Migdal
Migdal is an ancient town on the western shore of the Sea of Galilee in northern Israel, traditionally identified with the biblical Magdala and known as the hometown of Mary Magdalene.
-
B.
Shendam
Shendam is a historic town and local government area in central Nigeria known as one of the oldest settlements in Plateau State and a regional administrative and commercial center.
-
C.
Ascalon
Ascalon was an important ancient port city on the Mediterranean coast, strategically located in the southern Levant and frequently contested during the Crusades.
-
D.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
-
E.
Erechim
Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecd48b208190afaa62975805d087 |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285093208190a2ba00afcbd8a261 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b528d33c2081908e5f74005679dfbe |
completed | March 14, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5294c66588190ad7cc8e87b58ff52 |
completed | March 14, 2026, 9:24 a.m. |
Created at: March 9, 2026, 3:21 p.m.