Triple
T29715834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyantonde |
E751904
|
entity |
| Predicate | distanceFromMasaka_km |
P202682
|
FINISHED |
| Object | about 75 |
—
|
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 75 | Statement: [Lyantonde, distanceFromMasaka_km, about 75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMasaka_km Context triple: [Lyantonde, distanceFromMasaka_km, about 75]
-
A.
distanceToMatamata_km
Indicates the physical distance, measured in kilometers, between an entity and the location Matamata.
-
B.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
-
C.
distanceFromNaha
Indicates the spatial distance between a given location and Naha.
-
D.
distanceFromKatra
Indicates the spatial distance measured from the reference location Katra to another entity or place.
-
E.
distanceToMoshi
Indicates the spatial distance between a given entity and the location Moshi.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a00acf86e4081909aad9356650e0f79 |
completed | May 10, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_6a00ac813fd08190a0a7782609e74e70 |
completed | May 10, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_6a00acf7923c819091ae7fbda05164f6 |
completed | May 10, 2026, 4:06 p.m. |
Created at: April 28, 2026, 7:33 p.m.