Triple

T4742984
Position Surface form Disambiguated ID Type / Status
Subject Fiat 127 E105289 entity
Predicate relatedModel P37 FINISHED
Object Zastava 102
The Zastava 102 is a Yugoslav/Serbian supermini car produced by Zastava as a locally built and modified derivative of the Fiat 127.
E467181 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 102 | Statement: [Fiat 127, relatedModel, Zastava 102]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zastava 102
Context triple: [Fiat 127, relatedModel, Zastava 102]
  • A. 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.
  • B. Pobeda
    Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
  • C. Dragaš
    Dragaš is a Serbian medieval noble family name most notably borne by Helena Dragaš, the Byzantine empress and mother of the last Byzantine emperor, Constantine XI Palaiologos.
  • D. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • E. Rogožarski
    Rogožarski was a Yugoslav aircraft manufacturer known for producing military and trainer aircraft in the interwar and World War II periods.
  • 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 102
Triple: [Fiat 127, relatedModel, Zastava 102]
Generated description
The Zastava 102 is a Yugoslav/Serbian supermini car produced by Zastava as a locally built and modified derivative of the Fiat 127.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zastava 102
Target entity description: The Zastava 102 is a Yugoslav/Serbian supermini car produced by Zastava as a locally built and modified derivative of the Fiat 127.
  • A. 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.
  • B. Pobeda
    Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
  • C. Dragaš
    Dragaš is a Serbian medieval noble family name most notably borne by Helena Dragaš, the Byzantine empress and mother of the last Byzantine emperor, Constantine XI Palaiologos.
  • D. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • E. Rogožarski
    Rogožarski was a Yugoslav aircraft manufacturer known for producing military and trainer aircraft in the interwar and World War II periods.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a309a408190836c51d0fe85c5d8 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3d30efb4819088121ce087344da3 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3d99a288819088e42e04de5c17a4 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:19 p.m.