Triple
T6508236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COL |
E150064
|
entity |
| Predicate | abbreviationLength |
P71273
|
FINISHED |
| Object | 3 letters |
—
|
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: 3 letters | Statement: [COL, abbreviationLength, 3 letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationLength Context triple: [COL, abbreviationLength, 3 letters]
-
A.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
B.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
C.
abbreviationStyle
Indicates the specific way in which something is abbreviated, such as the format, punctuation, or capitalization used in its shortened form.
-
D.
isAbbreviation
Indicates that one term is a shortened or abbreviated form of another term.
-
E.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:43 p.m.