Triple
T5967718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Mihiel American Cemetery |
E132793
|
entity |
| Predicate | distanceFromMetz |
P40110
|
FINISHED |
| Object | approximately 40 kilometers west |
—
|
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 40 kilometers west | Statement: [St. Mihiel American Cemetery, distanceFromMetz, approximately 40 kilometers west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMetz Context triple: [St. Mihiel American Cemetery, distanceFromMetz, approximately 40 kilometers west]
-
A.
distanceToMetzKilometers
chosen
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Metz.
-
B.
distanceFromStrasbourg
Indicates the spatial distance between a given place or entity and the city of Strasbourg.
-
C.
distanceFromBesançonKilometres
Indicates the distance, measured in kilometers, between an entity and the city of Besançon.
-
D.
distanceFromParisSaintLazare
Indicates the physical distance between a given place and Paris Saint-Lazare railway station.
-
E.
distanceFromFoixKilometres
Indicates the physical distance, measured in kilometers, between a given place or entity and the location of Foix.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03e174c7c8190b04113f6529f5f0e |
completed | March 22, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69c0335b55a48190927a5b1529edb542 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.