Triple
T36507265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutoko, Zimbabwe |
E899501
|
entity |
| Predicate | distanceFromHarare_km |
P13915
|
FINISHED |
| Object | approximately 140 |
—
|
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 140 | Statement: [Mutoko, Zimbabwe, distanceFromHarare_km, approximately 140]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHarare_km Context triple: [Mutoko, Zimbabwe, distanceFromHarare_km, approximately 140]
-
A.
distanceToHarare
chosen
Indicates the spatial distance between a given entity and the location of Harare.
-
B.
distanceFromBulawayo
Indicates the measured spatial distance between a given location or entity and the city of Bulawayo.
-
C.
distanceFromLusaka
Indicates the spatial distance between a given location and the city of Lusaka.
-
D.
distanceFromMbabaneKilometers
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Mbabane.
-
E.
distanceFromMasvingo
Indicates the spatial distance between a given location and Masvingo.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.