Triple
T4162959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coquelles |
E91572
|
entity |
| Predicate | hasBorderControlFacilities |
P14206
|
FINISHED |
| Object | Channel Tunnel terminal |
—
|
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: Channel Tunnel terminal | Statement: [Coquelles, hasBorderControlFacilities, Channel Tunnel terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderControlFacilities Context triple: [Coquelles, hasBorderControlFacilities, Channel Tunnel terminal]
-
A.
hasBorderControlStatus
Indicates the type or condition of border control that applies to a given entity or location.
-
B.
hasBorderFacilityType
chosen
Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
-
C.
borderControls
Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
-
D.
borderControlSide
Indicates that one entity is positioned on or associated with a particular side or segment of a border control area or checkpoint.
-
E.
hasBorderPostWith
Indicates that two regions or territories share a border where an official border post or checkpoint is located between them.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.