Triple
T3636588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IV |
E77082
|
entity |
| Predicate | firstSymbolValue |
P29090
|
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: [IV, firstSymbolValue, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSymbolValue Context triple: [IV, firstSymbolValue, 1]
-
A.
firstPartValue
Indicates that the subject entity represents the initial or leading portion of a larger value, sequence, or composite data item.
-
B.
firstDigitEncoding
Indicates that one entity encodes or represents the first digit of another entity (such as a number, code, or identifier).
-
C.
digitSymbolForOne
chosen
Indicates that something is the written or symbolic representation used to denote the numeric value one.
-
D.
firstLitAt
Indicates that a particular object or location becomes illuminated or receives light for the first time at a specified time or under specified conditions.
-
E.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3278bb8819098bbeac023410111 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb842be7c8190b7dfdb7c906f294c |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.