Triple
T13528760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurs automatic docking system |
E323078
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object |
Kurs-NA
Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
|
E1044070
|
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: Kurs-NA | Statement: [Kurs automatic docking system, hasVersion, Kurs-NA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurs-NA Context triple: [Kurs automatic docking system, hasVersion, Kurs-NA]
-
A.
NAIT
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
-
B.
NAU
NAU is the commonly used abbreviation for Nanjing Agricultural University, a major Chinese institution specializing in agricultural and life sciences education and research.
-
C.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
.na
.na is the country code top-level domain (ccTLD) assigned to Namibia for use in its internet addresses.
- 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: Kurs-NA Triple: [Kurs automatic docking system, hasVersion, Kurs-NA]
Generated description
Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurs-NA Target entity description: Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
-
A.
NAIT
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
-
B.
NAU
NAU is the commonly used abbreviation for Nanjing Agricultural University, a major Chinese institution specializing in agricultural and life sciences education and research.
-
C.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
.na
.na is the country code top-level domain (ccTLD) assigned to Namibia for use in its internet addresses.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f755521abc8190baabcec69e80d554 |
completed | May 3, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f755c52c648190a4912725ce65ff04 |
completed | May 3, 2026, 2:03 p.m. |
Created at: April 9, 2026, 9:44 p.m.