Triple
T12916961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsiolkovskiy |
E309009
|
entity |
| Predicate | hasSatelliteCrater |
P34245
|
FINISHED |
| Object |
Tsiolkovskiy E
Tsiolkovskiy E is a minor lunar impact crater that serves as a satellite feature of the larger Tsiolkovskiy crater on the Moon’s far side.
|
E1017041
|
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: Tsiolkovskiy E | Statement: [Tsiolkovskiy, hasSatelliteCrater, Tsiolkovskiy E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsiolkovskiy E Context triple: [Tsiolkovskiy, hasSatelliteCrater, Tsiolkovskiy E]
-
A.
Tsiolkovskiy D
Tsiolkovskiy D is a minor lunar impact crater located near the prominent Tsiolkovskiy crater on the far side of the Moon.
-
B.
Tsiolkovskiy B
Tsiolkovskiy B is a minor lunar impact crater located near the larger Tsiolkovskiy crater on the far side of the Moon.
-
C.
Tsiolkovskiy
Tsiolkovskiy is a large impact crater on the far side of the Moon named in honor of Russian rocket scientist Konstantin Tsiolkovsky.
-
D.
Tsiolkovskiy C
Tsiolkovskiy C is a small lunar impact crater located near the prominent Tsiolkovskiy crater on the far side of the Moon.
-
E.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
- 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: Tsiolkovskiy E Triple: [Tsiolkovskiy, hasSatelliteCrater, Tsiolkovskiy E]
Generated description
Tsiolkovskiy E is a minor lunar impact crater that serves as a satellite feature of the larger Tsiolkovskiy crater on the Moon’s far side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsiolkovskiy E Target entity description: Tsiolkovskiy E is a minor lunar impact crater that serves as a satellite feature of the larger Tsiolkovskiy crater on the Moon’s far side.
-
A.
Tsiolkovskiy D
Tsiolkovskiy D is a minor lunar impact crater located near the prominent Tsiolkovskiy crater on the far side of the Moon.
-
B.
Tsiolkovskiy B
Tsiolkovskiy B is a minor lunar impact crater located near the larger Tsiolkovskiy crater on the far side of the Moon.
-
C.
Tsiolkovskiy
Tsiolkovskiy is a large impact crater on the far side of the Moon named in honor of Russian rocket scientist Konstantin Tsiolkovsky.
-
D.
Tsiolkovskiy C
Tsiolkovskiy C is a small lunar impact crater located near the prominent Tsiolkovskiy crater on the far side of the Moon.
-
E.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbccbd08190869d8de09797bc6a |
completed | May 3, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69f6cd0d21e08190855dcbee000fc25d |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce6b220c8190b1f49a9b2bfce692 |
completed | May 3, 2026, 4:26 a.m. |
Created at: April 9, 2026, 5:41 p.m.