Triple
T5187248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TR-85M1 Bizonul |
E117061
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
TR-85
The TR-85 is a Romanian main battle tank developed during the Cold War as an improved, domestically produced evolution of the Soviet T-55 design.
|
E501901
|
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: TR-85 | Statement: [TR-85M1 Bizonul, basedOn, TR-85]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TR-85 Context triple: [TR-85M1 Bizonul, basedOn, TR-85]
-
A.
T-850
T-850 is a reprogrammed Terminator cyborg model portrayed by Arnold Schwarzenegger in "Terminator 3: Rise of the Machines," sent back in time to protect John Connor from more advanced machines.
-
B.
TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
C.
TR-1A
The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
-
D.
TR-42
TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
-
E.
TX-38
TX-38 is a U.S. congressional district in Texas represented in the House of Representatives.
- 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: TR-85 Triple: [TR-85M1 Bizonul, basedOn, TR-85]
Generated description
The TR-85 is a Romanian main battle tank developed during the Cold War as an improved, domestically produced evolution of the Soviet T-55 design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TR-85 Target entity description: The TR-85 is a Romanian main battle tank developed during the Cold War as an improved, domestically produced evolution of the Soviet T-55 design.
-
A.
T-850
T-850 is a reprogrammed Terminator cyborg model portrayed by Arnold Schwarzenegger in "Terminator 3: Rise of the Machines," sent back in time to protect John Connor from more advanced machines.
-
B.
TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
C.
TR-1A
The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
-
D.
TR-42
TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
-
E.
TX-38
TX-38 is a U.S. congressional district in Texas represented in the House of Representatives.
- 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.