Triple
T37514086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakarum faith |
E932588
|
entity |
| Predicate | corruptionLocation |
P188696
|
FINISHED |
| Object | Temple City of Travincal |
—
|
NE NERFINISHED |
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: Temple City of Travincal | Statement: [Zakarum faith, corruptionLocation, Temple City of Travincal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corruptionLocation Context triple: [Zakarum faith, corruptionLocation, Temple City of Travincal]
-
A.
corruptionLevel
Indicates the degree or extent to which unethical, illegal, or dishonest practices are present or influential in a given context.
-
B.
allegedMisconductLocation
Indicates the place where the alleged misconduct is reported to have occurred.
-
C.
courtCorruption
Indicates that a court or judicial body is involved in corrupt practices, such as bribery, bias, or abuse of legal authority.
-
D.
courtCorruptionLevel
Indicates the degree to which a court is affected by corrupt practices or improper influence in its decisions and operations.
-
E.
coupLocation
Indicates the place where a coup d'état occurs or is carried out.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.