Triple
T2368052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses the Black |
E46027
|
entity |
| Predicate | ledCommunityAt |
P37816
|
FINISHED |
| Object | monastery in Scetis |
—
|
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: monastery in Scetis | Statement: [Moses the Black, ledCommunityAt, monastery in Scetis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledCommunityAt Context triple: [Moses the Black, ledCommunityAt, monastery in Scetis]
-
A.
led
Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
-
B.
ledLeagueIn
Indicates that an entity achieved the highest performance or total in a specified statistical category within a particular league for a given season or time period.
-
C.
ledExpedition
Indicates that one entity organized and directed an expedition involving another entity or group.
-
D.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
-
E.
numberOfLights
Indicates the quantity of lights associated with or present on a given entity.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76bf75c8190b014c3dbfc46bba3 |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6443c6c8190b932de2abd8eb28f |
completed | March 7, 2026, 6:31 a.m. |
Created at: March 4, 2026, 7:56 p.m.