Triple
T38297607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRS |
E1032132
|
entity |
| Predicate | distanceFromTrieste |
P108605
|
FINISHED |
| Object | approximately 30 km northwest |
—
|
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 30 km northwest | Statement: [TRS, distanceFromTrieste, approximately 30 km northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTrieste Context triple: [TRS, distanceFromTrieste, approximately 30 km northwest]
-
A.
distanceToTrieste
chosen
Indicates the measured or calculated distance between a given entity or location and the city of Trieste.
-
B.
distanceToTreviso
Indicates the spatial distance between a given entity and the location of Treviso.
-
C.
distanceToTrevisoKilometers
Indicates the physical distance, measured in kilometers, between a given location or entity and the city of Treviso.
-
D.
distanceFromLjubljana
Indicates the spatial distance between an entity and the city of Ljubljana.
-
E.
distanceToBrescia_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Brescia.
- 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.