Triple
T10471821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A86 |
E246939
|
entity |
| Predicate | hasRingRoadRole |
P94212
|
FINISHED |
| Object | second ring road around Paris |
—
|
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: second ring road around Paris | Statement: [A86, hasRingRoadRole, second ring road around Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRingRoadRole Context triple: [A86, hasRingRoadRole, second ring road around Paris]
-
A.
hasRingRoadLengthApproxKm
Indicates that an entity has a ring road whose length is approximately a specified number of kilometers.
-
B.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
C.
isInnerCityRoad
Indicates that a road is located within and primarily serves the inner (central, densely built-up) area of a city.
-
D.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
E.
hasRoads
Indicates that there exist constructed road connections linking the related entities.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094cec788190a485c5c9e7cd024a |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.