Triple
T5479607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMS |
E123437
|
entity |
| Predicate | firstTextMessageSentDate |
P13892
|
FINISHED |
| Object | 1992-12-03 |
—
|
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: 1992-12-03 | Statement: [SMS, firstTextMessageSentDate, 1992-12-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTextMessageSentDate Context triple: [SMS, firstTextMessageSentDate, 1992-12-03]
-
A.
firstMessageTo
Indicates that one entity is the initial sender of a message or communication to another entity.
-
B.
dateSent
chosen
Indicates the specific date on which something (such as a message, document, or item) was sent from one party to another.
-
C.
firstMessageFrom
Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
-
D.
firstReachedDate
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
E.
firstCreatedAt
Indicates the time or date at which an entity was initially created 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.