Triple
T16181683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat 128 |
E392696
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
Zastava 101
The Zastava 101 is a Yugoslav-built compact car derived from the Fiat 128, known for its hatchback design and long-lasting popularity in Eastern Europe.
|
E1199048
|
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: Zastava 101 | Statement: [Fiat 128, influenced, Zastava 101]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zastava 101 Context triple: [Fiat 128, influenced, Zastava 101]
-
A.
Zastavna
Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
-
B.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
C.
Zarda
Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
-
D.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
-
E.
Zlatni Rat
Zlatni Rat is a famous horn-shaped pebble beach on the Croatian island of Brač, known for its clear waters and shifting shoreline.
- 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: Zastava 101 Triple: [Fiat 128, influenced, Zastava 101]
Generated description
The Zastava 101 is a Yugoslav-built compact car derived from the Fiat 128, known for its hatchback design and long-lasting popularity in Eastern Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zastava 101 Target entity description: The Zastava 101 is a Yugoslav-built compact car derived from the Fiat 128, known for its hatchback design and long-lasting popularity in Eastern Europe.
-
A.
Zastavna
Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
-
B.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
C.
Zarda
Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
-
D.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
-
E.
Zlatni Rat
Zlatni Rat is a famous horn-shaped pebble beach on the Croatian island of Brač, known for its clear waters and shifting shoreline.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000170f87481909fbfb2104e6b0403 |
completed | May 10, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0001d5018481908e84a33e4a797f95 |
completed | May 10, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:02 a.m.