Triple
T4466591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France and Italy |
E98393
|
entity |
| Predicate | shareBorderLengthApproxKm |
P33049
|
FINISHED |
| Object | 515 |
—
|
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: 515 | Statement: [France and Italy, shareBorderLengthApproxKm, 515]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareBorderLengthApproxKm Context triple: [France and Italy, shareBorderLengthApproxKm, 515]
-
A.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
B.
distanceToRussianBorder_km
Indicates the physical distance, measured in kilometers, between a given location and the nearest point on the Russian border.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
countryBorderFeatureOf
Indicates that a geographical feature (such as a river, mountain range, or coastline) serves as or is part of the border of a country.
-
E.
hasBorderLengthWithCanada_km
Indicates the length, in kilometers, of the land or maritime border that an entity shares with Canada.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.