Triple
T11230738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N1 |
E265811
|
entity |
| Predicate | isAmbiguousAcross |
P71696
|
FINISHED |
| Object | multiple national road systems |
—
|
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: multiple national road systems | Statement: [N1, isAmbiguousAcross, multiple national road systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmbiguousAcross Context triple: [N1, isAmbiguousAcross, multiple national road systems]
-
A.
isAmbiguousName
chosen
Indicates that a name can refer to multiple distinct entities or interpretations, making its reference unclear without additional context.
-
B.
hasAmbiguousEnding
Indicates that the event, story, or situation concludes in a way that is open to multiple interpretations or lacks a clear, definitive resolution.
-
C.
hasCross
Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or context.
-
D.
isKeyCrossingFor
Indicates that one entity serves as a primary or critical crossing point (such as a bridge, intersection, or passage) for another entity’s movement or connectivity.
-
E.
crossedWith
Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfdf7a88190aae21572e57ef208 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.