Triple
T9813650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saar River |
E238341
|
entity |
| Predicate | lengthInFrance |
P90149
|
FINISHED |
| Object | approximately 126 km |
—
|
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: approximately 126 km | Statement: [Saar River, lengthInFrance, approximately 126 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInFrance Context triple: [Saar River, lengthInFrance, approximately 126 km]
-
A.
distanceToFrance
Indicates the spatial distance between a given entity and the country of France.
-
B.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
-
C.
strengthFrance
Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
-
D.
capsForFrance
Indicates that an individual has made official playing appearances (caps) for the France national team.
-
E.
timeUnderControlOfFrance
Indicates the period during which an entity was governed, administered, or otherwise under the political control of France.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb22410208190b82b81a4df800f80 |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:30 p.m.