Triple
T3723985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quaoar |
E81703
|
entity |
| Predicate | mpcNumber |
P51227
|
FINISHED |
| Object | 50000 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 50000 | Statement: [Quaoar, mpcNumber, 50000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mpcNumber Context triple: [Quaoar, mpcNumber, 50000]
-
A.
mint
Indicates the act of creating or issuing something new, typically in an official or authoritative capacity (such as producing new currency or tokens).
-
B.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
C.
MVPType
Indicates the specific category or role of a person or entity designated as the “Most Valuable Player” (MVP) within a given context or system.
-
D.
movementNumber
Indicates the specific sequential position of a movement within a larger multi-movement work or performance.
-
E.
MMSINumber
Indicates a relationship where a mobile subscriber is associated with a specific Mobile Station International ISDN Number (MSISDN) used to identify their phone line in a mobile network.
- F. None of above. chosen
Provenance (4 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf3f2ec8190a3a8f363cfb762f3 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc226fffc81909c679b44e611fee6 |
completed | March 8, 2026, 6:38 p.m. |
Created at: March 8, 2026, 3:34 p.m.