Triple
T4566498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SN 1572 |
E121921
|
entity |
| Predicate | remnantCatalogDesignation |
P48076
|
FINISHED |
| Object | G120.1+1.4 |
—
|
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: G120.1+1.4 | Statement: [SN 1572, remnantCatalogDesignation, G120.1+1.4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remnantCatalogDesignation Context triple: [SN 1572, remnantCatalogDesignation, G120.1+1.4]
-
A.
alternateDesignation
chosen
Indicates that one entity serves as an alternative name, label, or identifier for another entity.
-
B.
flamsteedDesignation
Indicates the Flamsteed catalog number assigned to a star within its constellation, expressing that specific designation relationship.
-
C.
NASADesignation
Indicates that an entity has been assigned an official identification or catalog number by NASA.
-
D.
AVADesignation
Indicates that an entity has been assigned a specific AVA (American Viticultural Area) designation, linking it to a formally recognized wine-growing region.
-
E.
bayerDesignation
Indicates the assignment of a star’s Bayer designation, linking a star to its specific Greek-letter-plus-constellation label used in astronomy.
- F. None of above.
Provenance (3 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589e35808190aa609bb04b128dbe |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.