Triple
T26217267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMANDA experiment |
E655663
|
entity |
| Predicate | firstDataTakingYear |
P195925
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [AMANDA experiment, firstDataTakingYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDataTakingYear Context triple: [AMANDA experiment, firstDataTakingYear, 1996]
-
A.
firstCaptureYear
Indicates the year in which an entity was first captured or recorded as captured.
-
B.
phase1CommissioningYear
Indicates the calendar year in which the first phase of something (such as a project, facility, or system) was officially commissioned or put into operation.
-
C.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
D.
firstArrivalYear
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
-
E.
firstCloseImagingYear
Indicates the year in which the first close-range imaging (e.g., detailed observational data or images) of the subject was obtained.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
| PDg | Predicate description generation | batch_69fdf5cfa1ec8190b80d887fa1bfb4cf |
completed | May 8, 2026, 2:40 p.m. |
Created at: April 26, 2026, 8:54 p.m.