Triple
T32755479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modogashe |
E837609
|
entity |
| Predicate | distanceFromIsiolo |
P205153
|
FINISHED |
| Object | approximately 150–200 km by road (approximate) |
—
|
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 150–200 km by road (approximate) | Statement: [Modogashe, distanceFromIsiolo, approximately 150–200 km by road (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromIsiolo Context triple: [Modogashe, distanceFromIsiolo, approximately 150–200 km by road (approximate)]
-
A.
distanceToAmboseliNationalPark
Indicates the measured or estimated spatial distance between a given entity and Amboseli National Park.
-
B.
distanceFromNairobi
Indicates the spatial distance between a given entity’s location and the city of Nairobi.
-
C.
distanceToArusha
Indicates the measured spatial distance between a given entity and the location Arusha.
-
D.
distanceFromNakuru
Indicates the spatial distance measured from the reference location of Nakuru to another place or entity.
-
E.
distanceFromMogadishu
Indicates the spatial distance between a given location and Mogadishu.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:12 a.m.