Triple
T432764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arecibo message |
E9748
|
entity |
| Predicate | dateSent |
P13892
|
FINISHED |
| Object | 1974-11-16 |
—
|
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: 1974-11-16 | Statement: [Arecibo message, dateSent, 1974-11-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateSent Context triple: [Arecibo message, dateSent, 1974-11-16]
-
A.
dateSigned
Indicates the specific date on which an agreement, document, or contract was formally signed.
-
B.
dateOfSubmission
Indicates the specific date on which something (such as a document, application, or assignment) was formally submitted.
-
C.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
-
D.
dateTransmittedToUS
Indicates the date on which something (such as information, data, or a document) was sent or conveyed to the United States.
-
E.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef084840819080653004b674cba8 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb93584819082f23eff13e17c4f |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.