Triple
T38054455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route nationale 10 |
E949859
|
entity |
| Predicate | historicallyLinkedRegion |
P13711
|
FINISHED |
| Object | Île-de-France |
E6961
|
NE 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: Île-de-France | Statement: [Route nationale 10, historicallyLinkedRegion, Île-de-France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyLinkedRegion Context triple: [Route nationale 10, historicallyLinkedRegion, Île-de-France]
-
A.
historicalRegionAssociation
chosen
Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
-
B.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
C.
historicalRegionCorrespondsTo
Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
-
D.
historicalRegionCode
Indicates that an entity is associated with a specific code identifying a historical region.
-
E.
historicalRegionUsedFor
Indicates that a historical region served as the location or area of use for a particular activity, purpose, or entity.
- F. None of above.
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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01f4d954e08190aff3756955212d67 |
completed | May 11, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415d3315e8819088a67cce7ec138e7 |
completed | June 28, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_6a01edadb9248190be592287530740a5 |
completed | May 11, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:21 p.m.