Triple
T30628792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bago |
E779655
|
entity |
| Predicate | distanceToYangon_km |
P203197
|
FINISHED |
| Object | approximately 80 |
—
|
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 80 | Statement: [Bago, distanceToYangon_km, approximately 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToYangon_km Context triple: [Bago, distanceToYangon_km, approximately 80]
-
A.
distanceFromMawlamyine_km
Indicates the distance, measured in kilometers, between a given place or entity and Mawlamyine.
-
B.
distanceFromMandalay
Indicates the measured distance between a given place or entity and the location of Mandalay.
-
C.
directionFromYangon
Indicates the cardinal or relative compass direction in which one location lies from Yangon.
-
D.
distanceFromBangkok
Indicates the spatial distance between a given location and the city of Bangkok.
-
E.
distanceFromThonBuriStation_km
Indicates the distance, measured in kilometers, between a given entity and Thon Buri Station.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a013a251b4081908b43d85dd95586c5 |
completed | May 11, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a0137e4ea988190812173a5ff044098 |
completed | May 11, 2026, 1:59 a.m. |
| PDg | Predicate description generation | batch_6a013a24495c8190b1035e40c51559d1 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 29, 2026, 8:28 p.m.