Triple
T10036683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi-Civita crater |
E205187
|
entity |
| Predicate | hasSatelliteCraters |
P34245
|
FINISHED |
| Object |
Levi-Civita P
Levi-Civita P is a small satellite impact crater on the Moon located near the larger Levi-Civita crater on the lunar far side.
|
E837995
|
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: Levi-Civita P | Statement: [Levi-Civita crater, hasSatelliteCraters, Levi-Civita P]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levi-Civita P Context triple: [Levi-Civita crater, hasSatelliteCraters, Levi-Civita P]
-
A.
P.
P. is a common abbreviated form of the Roman praenomen "Publius," frequently used in historical and classical texts.
-
B.
PI
PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
-
C.
PI
PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
-
D.
E Pier
E Pier is one of the main passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
-
E.
Pareto
Pareto is an Italian surname most famously associated with economist and sociologist Vilfredo Pareto, whose work led to the Pareto principle (the 80/20 rule).
- 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: Levi-Civita P Triple: [Levi-Civita crater, hasSatelliteCraters, Levi-Civita P]
Generated description
Levi-Civita P is a small satellite impact crater on the Moon located near the larger Levi-Civita crater on the lunar far side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Levi-Civita P Target entity description: Levi-Civita P is a small satellite impact crater on the Moon located near the larger Levi-Civita crater on the lunar far side.
-
A.
P.
P. is a common abbreviated form of the Roman praenomen "Publius," frequently used in historical and classical texts.
-
B.
PI
PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
-
C.
PI
PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
-
D.
E Pier
E Pier is one of the main passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
-
E.
Pareto
Pareto is an Italian surname most famously associated with economist and sociologist Vilfredo Pareto, whose work led to the Pareto principle (the 80/20 rule).
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4bb3408190ac5dae4718ef7cad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28258ab088190a31ad5854d91193b |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d2867128ec8190a91cfc9def68c2be |
completed | April 5, 2026, 3:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d286fdd2c88190b0ce5070c7875dcc |
completed | April 5, 2026, 3:59 p.m. |
Created at: March 30, 2026, 8:55 p.m.