Triple
T29235687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botswana thebe |
E741186
|
entity |
| Predicate | relationshipToPula |
P203066
|
FINISHED |
| Object | 100 thebe = 1 pula |
—
|
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: 100 thebe = 1 pula | Statement: [Botswana thebe, relationshipToPula, 100 thebe = 1 pula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPula Context triple: [Botswana thebe, relationshipToPula, 100 thebe = 1 pula]
-
A.
relationshipToPuntila
Indicates the type or nature of a relationship that an entity has to Puntila.
-
B.
relationshipToPármeno
Indicates the specific type of personal or social relationship that one entity has to Pármeno.
-
C.
relationshipToPolinaAlexandrovna
Indicates the specific type of personal or social relationship that one entity has with Polina Alexandrovna.
-
D.
relationshipToTopa
Indicates a familial or social relationship that an entity has specifically with Topa.
-
E.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
| PDg | Predicate description generation | batch_6a011c645b68819092ccbb14c1a4c454 |
completed | May 11, 2026, 12:01 a.m. |
Created at: April 28, 2026, 12:29 p.m.