Triple
T20612922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 41 |
E506490
|
entity |
| Predicate | discoveryIndependentlyReportedYear |
P14790
|
FINISHED |
| Object | 1702 |
—
|
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: 1702 | Statement: [Messier 41, discoveryIndependentlyReportedYear, 1702]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveryIndependentlyReportedYear Context triple: [Messier 41, discoveryIndependentlyReportedYear, 1702]
-
A.
discoveryDate
Indicates the date on which something was first discovered or identified.
-
B.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
-
C.
wasDiscoveredAt
Indicates that an entity was found, identified, or uncovered at a specific place or during a particular event or context.
-
D.
rediscoveryYear
Indicates the year in which something that was previously known but lost, forgotten, or overlooked was found or recognized again.
-
E.
firstReportedYear
chosen
Indicates the year in which something was initially reported, documented, or made known for the first time.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad94dac8190921c7769a649c724 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.