Triple
T37527703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter 1: On Saving Time |
E932949
|
entity |
| Predicate | letterNumber |
P70157
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Letter 1: On Saving Time, letterNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: letterNumber Context triple: [Letter 1: On Saving Time, letterNumber, 1]
-
A.
letterIndex
Indicates the position or index of a letter within a sequence, such as a word, string, or alphabet.
-
B.
letterOrNumberDesignation
chosen
Indicates that something is identified or labeled using a specific letter, number, or combination of both.
-
C.
letter3
Indicates that one entity is the third letter (or character) of another entity, typically a string or word.
-
D.
positionNumber
Indicates the specific ordinal or identifying number assigned to a position within an ordered set or organizational structure.
-
E.
nameNumber
Indicates a relationship where a specific name is associated with a particular numerical identifier or value.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.