Triple
T2759853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapa Inca |
E61193
|
entity |
| Predicate | positionHeldInGovernment |
P8
|
FINISHED |
| Object | supreme ruler of the Inca Empire |
—
|
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: supreme ruler of the Inca Empire | Statement: [Sapa Inca, positionHeldInGovernment, supreme ruler of the Inca Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldInGovernment Context triple: [Sapa Inca, positionHeldInGovernment, supreme ruler of the Inca Empire]
-
A.
positionOnGovernmentRole
Indicates that an entity holds or is assigned to a specific role or office within a government structure.
-
B.
positionOnGovernment
Indicates an entity’s stance, role, or status within a governmental structure or political office.
-
C.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
D.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
-
E.
traditionallyHoldsOffice
Indicates that an entity customarily or historically occupies a particular office or position as part of an established tradition.
- F. None of above.
Provenance (3 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.