Triple
T9726259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS-17 Spanker |
E235619
|
entity |
| Predicate | NATOReportingName |
P6062
|
FINISHED |
| Object |
Spanker
Spanker is the NATO reporting name for the Soviet SS-17 intercontinental ballistic missile system developed during the Cold War.
|
E816290
|
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: Spanker | Statement: [SS-17 Spanker, NATOReportingName, Spanker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spanker Context triple: [SS-17 Spanker, NATOReportingName, Spanker]
-
A.
Splott
Splott is a residential and industrial district in the city of Cardiff, Wales, known for its working-class heritage and proximity to the city centre and docks.
-
B.
Sparty
Sparty is the muscular, armor-clad Spartan warrior mascot who represents Michigan State University at athletic events and campus activities.
-
C.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
-
D.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
E.
Sestigers
The Sestigers were a group of innovative Afrikaans writers of the 1960s who challenged conservative norms in South African literature and engaged critically with apartheid-era society.
- 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: Spanker Triple: [SS-17 Spanker, NATOReportingName, Spanker]
Generated description
Spanker is the NATO reporting name for the Soviet SS-17 intercontinental ballistic missile system developed during the Cold War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spanker Target entity description: Spanker is the NATO reporting name for the Soviet SS-17 intercontinental ballistic missile system developed during the Cold War.
-
A.
Splott
Splott is a residential and industrial district in the city of Cardiff, Wales, known for its working-class heritage and proximity to the city centre and docks.
-
B.
Sparty
Sparty is the muscular, armor-clad Spartan warrior mascot who represents Michigan State University at athletic events and campus activities.
-
C.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
-
D.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
E.
Sestigers
The Sestigers were a group of innovative Afrikaans writers of the 1960s who challenged conservative norms in South African literature and engaged critically with apartheid-era society.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e798c348190885b79d7dffc9d8d |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fadc2948190b405fb7f249b82aa |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a0988f00819094b5fe6e4d328688 |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:21 p.m.