Triple
T13662925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanem |
E327043
|
entity |
| Predicate | distanceToEschSurAlzette |
P111053
|
FINISHED |
| Object | approximately 5 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 5 km | Statement: [Sanem, distanceToEschSurAlzette, approximately 5 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToEschSurAlzette Context triple: [Sanem, distanceToEschSurAlzette, approximately 5 km]
-
A.
distanceToWetzlar
Indicates the measured distance between a given entity or location and the place named Wetzlar.
-
B.
distanceToMetzKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Metz.
-
C.
distanceFromStrasbourg
Indicates the spatial distance between a given place or entity and the city of Strasbourg.
-
D.
distanceToLuxembourgCityKilometers
Indicates the physical distance, measured in kilometers, between the given entity and Luxembourg City.
-
E.
distanceToThionvilleKm
Indicates the physical distance, measured in kilometers, between an entity and Thionville.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:52 p.m.