Triple
T6508247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COL |
E150064
|
entity |
| Predicate | codeStandardization |
P71274
|
FINISHED |
| Object | MLB official team abbreviation |
—
|
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: MLB official team abbreviation | Statement: [COL, codeStandardization, MLB official team abbreviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeStandardization Context triple: [COL, codeStandardization, MLB official team abbreviation]
-
A.
codeStandard
Indicates that an entity adheres to, complies with, or is governed by a specified coding or programming standard.
-
B.
scriptStandardizationCenter
Indicates a relationship where an entity serves as a center or authority responsible for standardizing a writing system or script.
-
C.
standardizationApproach
Indicates the method or strategy used to establish, implement, or align with a common standard across entities or processes.
-
D.
documentationStandard
Indicates that there is a specified convention or set of rules governing how documentation should be written, structured, or maintained in relation to an entity or process.
-
E.
languageCodeStandard
Indicates that a language code conforms to a specific standardized coding scheme (such as ISO language code standards).
- 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.