Triple
T6983743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tor surface-to-air missile system |
E161909
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Tor-M1
Tor-M1 is a modernized Russian short-range, mobile air defense system variant designed to intercept aircraft, helicopters, drones, and precision-guided munitions in all weather conditions.
|
E632878
|
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: Tor-M1 | Statement: [Tor surface-to-air missile system, hasVariant, Tor-M1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tor-M1 Context triple: [Tor surface-to-air missile system, hasVariant, Tor-M1]
-
A.
Torp
Torp is a Norwegian surname most notably associated with architect Niels Torp and several other prominent Norwegian families.
-
B.
Tor Tiv
Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
-
C.
Termunten
Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
-
D.
Tore
Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
-
E.
Meteor T.7
The Meteor T.7 is a two-seat trainer version of the British Gloster Meteor jet fighter, used primarily for pilot instruction and conversion training.
- 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: Tor-M1 Triple: [Tor surface-to-air missile system, hasVariant, Tor-M1]
Generated description
Tor-M1 is a modernized Russian short-range, mobile air defense system variant designed to intercept aircraft, helicopters, drones, and precision-guided munitions in all weather conditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tor-M1 Target entity description: Tor-M1 is a modernized Russian short-range, mobile air defense system variant designed to intercept aircraft, helicopters, drones, and precision-guided munitions in all weather conditions.
-
A.
Torp
Torp is a Norwegian surname most notably associated with architect Niels Torp and several other prominent Norwegian families.
-
B.
Tor Tiv
Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
-
C.
Termunten
Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
-
D.
Tore
Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
-
E.
Meteor T.7
The Meteor T.7 is a two-seat trainer version of the British Gloster Meteor jet fighter, used primarily for pilot instruction and conversion training.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db90e9108190a7aedeef1fb17eb4 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761c671588190a4e7b5c26cdfe6ba |
completed | March 28, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69c762eaf7f08190b82ff23f2b502762 |
completed | March 28, 2026, 5:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c763d604148190a3004ab99c79834f |
completed | March 28, 2026, 5:15 a.m. |
Created at: March 27, 2026, 2:31 p.m.