Triple
T6747898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Loop |
E154263
|
entity |
| Predicate | isCommonTermIn |
P56045
|
FINISHED |
| Object | local traffic reports |
—
|
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: local traffic reports | Statement: [Inner Loop, isCommonTermIn, local traffic reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommonTermIn Context triple: [Inner Loop, isCommonTermIn, local traffic reports]
-
A.
isAlsoCommonNounInLanguage
Indicates that an entity is also used as a common noun in a specified language.
-
B.
isCommonlyDefinedBy
Indicates that something is typically or most frequently characterized, specified, or described by a particular definition, property, or set of criteria.
-
C.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
D.
typicalTerm
chosen
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
E.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:11 p.m.