Triple
T37857663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebola |
E944235
|
entity |
| Predicate | distanceToMalabo |
P204430
|
FINISHED |
| Object | short distance |
—
|
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: short distance | Statement: [Rebola, distanceToMalabo, short distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMalabo Context triple: [Rebola, distanceToMalabo, short distance]
-
A.
distanceToKinshasa
Indicates the measured spatial distance between a given entity’s location and the city of Kinshasa.
-
B.
distanceToLomé
Indicates the spatial distance between a given entity or location and the city of Lomé.
-
C.
distanceFromBangui
Indicates the measured distance between a given location and the city of Bangui.
-
D.
distanceFromBangui_km
Indicates the distance, measured in kilometers, between a given location and Bangui.
-
E.
distanceFromConakry
Indicates the spatial distance between a given entity and the location of Conakry.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.