Triple
T13363181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embu |
E318869
|
entity |
| Predicate | distanceFromNairobi_km |
P51265
|
FINISHED |
| Object | about 130 |
—
|
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: about 130 | Statement: [Embu, distanceFromNairobi_km, about 130]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNairobi_km Context triple: [Embu, distanceFromNairobi_km, about 130]
-
A.
distanceFromNairobi
chosen
Indicates the spatial distance between a given entity’s location and the city of Nairobi.
-
B.
distanceFromKampala
Indicates the measured distance between a given location and the city of Kampala.
-
C.
distanceToBujumbura_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Bujumbura.
-
D.
distanceFromBujumbura
Indicates the measured spatial distance between a given location and the city of Bujumbura.
-
E.
distanceFromMogadishu_km
Indicates the distance, measured in kilometers, between a given location and Mogadishu.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.