Triple
T29677293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G4 |
E750849
|
entity |
| Predicate | codeInChinaExpresswaySystem |
P144239
|
FINISHED |
| Object | G4 |
—
|
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: G4 | Statement: [G4, codeInChinaExpresswaySystem, G4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeInChinaExpresswaySystem Context triple: [G4, codeInChinaExpresswaySystem, G4]
-
A.
expressway
Indicates that one location is connected to another by a high-speed, limited-access roadway designed for fast vehicular travel.
-
B.
hasRoadCode
chosen
Indicates that an entity is associated with a specific road identification code used for classification or reference.
-
C.
roadSystem
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
D.
isIntercityHighway
Indicates that a given road segment functions as a highway connecting different cities or urban areas.
-
E.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6725e8c8c8190baf3a148eb6db098 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:08 p.m.