Triple
T28880054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mlima Meru |
E732390
|
entity |
| Predicate | distanceToMountKilimanjaro |
P202071
|
FINISHED |
| Object | approximately 70 kilometers west |
—
|
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 70 kilometers west | Statement: [Mlima Meru, distanceToMountKilimanjaro, approximately 70 kilometers west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMountKilimanjaro Context triple: [Mlima Meru, distanceToMountKilimanjaro, approximately 70 kilometers west]
-
A.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
B.
distanceToAmboseliNationalPark
Indicates the measured or estimated spatial distance between a given entity and Amboseli National Park.
-
C.
distanceToArusha
Indicates the measured spatial distance between a given entity and the location Arusha.
-
D.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
-
E.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a004c41f13c8190bc47daf6a5ca3949 |
completed | May 10, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_6a004bce3e3081909b35ae5b3bf2b35e |
completed | May 10, 2026, 9:11 a.m. |
| PDg | Predicate description generation | batch_6a004c41009c8190b18e41acf1fd7372 |
completed | May 10, 2026, 9:13 a.m. |
Created at: April 28, 2026, 7:42 a.m.