Triple
T19831163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC |
E476463
|
entity |
| Predicate | originalEpoch |
P21934
|
FINISHED |
| Object | B1855 |
—
|
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: B1855 | Statement: [NGC, originalEpoch, B1855]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalEpoch Context triple: [NGC, originalEpoch, B1855]
-
A.
epochReference
chosen
Indicates a temporal relationship where one time expression is interpreted relative to a specified reference epoch or baseline time.
-
B.
originalRunEra
Indicates the time period or era during which something (such as a show, series, or product) was first originally run or released.
-
C.
earliestEpochOf
Indicates the earliest time point or epoch at which a given entity, event, or state first occurs or becomes valid in relation to another.
-
D.
timePeriodOrigin
Indicates that one entity is the time period in which the other entity originated or first came into existence.
-
E.
calendarEpoch
Indicates the reference starting point in time from which a particular calendar system counts its dates.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ce68b48190aa25b29d0b6ea021 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.