Triple
T35502066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary |
E1026034
|
entity |
| Predicate | distanceToAshgabat |
P45224
|
FINISHED |
| Object | approximately 350 km east |
—
|
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 350 km east | Statement: [Mary, distanceToAshgabat, approximately 350 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAshgabat Context triple: [Mary, distanceToAshgabat, approximately 350 km east]
-
A.
distanceFromAshgabat
chosen
Indicates the measured spatial distance between a given location and the city of Ashgabat.
-
B.
roadDistanceToAshgabat_km
Indicates the distance in kilometers between an entity and Ashgabat when traveling by road.
-
C.
distanceFromBaku
Indicates the measured distance between a given place or object and the city of Baku.
-
D.
distanceToKabul
Indicates the measured spatial distance between a given location or entity and the city of Kabul.
-
E.
distanceFromDushanbe
Indicates the measured distance between a given location and the city of Dushanbe.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.