Triple
T13180381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erieye radar |
E313705
|
entity |
| Predicate | originLanguageName |
P3048
|
FINISHED |
| Object |
Erieye
Erieye is an airborne early warning and control (AEW&C) radar system developed by Saab for long-range surveillance and airspace management.
|
E1028692
|
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: Erieye | Statement: [Erieye radar, originLanguageName, Erieye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erieye Context triple: [Erieye radar, originLanguageName, Erieye]
-
A.
Eri
Eri is a given name shared by various individuals, including the Israeli politician and Revisionist Zionist leader Eri Jabotinsky.
-
B.
Erial
Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
-
C.
Mekeyir
Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
-
D.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
E.
Erezée
Erezée is a small rural municipality in the Ardennes region of southern Belgium, known for its scenic landscapes and quiet village character.
- 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: Erieye Triple: [Erieye radar, originLanguageName, Erieye]
Generated description
Erieye is an airborne early warning and control (AEW&C) radar system developed by Saab for long-range surveillance and airspace management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erieye Target entity description: Erieye is an airborne early warning and control (AEW&C) radar system developed by Saab for long-range surveillance and airspace management.
-
A.
Eri
Eri is a given name shared by various individuals, including the Israeli politician and Revisionist Zionist leader Eri Jabotinsky.
-
B.
Erial
Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
-
C.
Mekeyir
Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
-
D.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
E.
Erezée
Erezée is a small rural municipality in the Ardennes region of southern Belgium, known for its scenic landscapes and quiet village character.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff116f1c819097e4c53cd1411d78 |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7038563848190ae96538e30ecafd5 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:14 p.m.