Triple
T5968476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huey Tlatoani |
E132810
|
entity |
| Predicate | subordinatesInclude |
P258
|
FINISHED |
| Object | tlatoani of subject cities |
—
|
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: tlatoani of subject cities | Statement: [Huey Tlatoani, subordinatesInclude, tlatoani of subject cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subordinatesInclude Context triple: [Huey Tlatoani, subordinatesInclude, tlatoani of subject cities]
-
A.
subordinateTo
chosen
Indicates that one entity holds a lower rank, status, or authority and is subject to the control, direction, or oversight of another entity.
-
B.
notSubordinateTo
Indicates that one entity is not in a lower-ranking, subordinate, or reporting position to another entity within a hierarchy or organizational structure.
-
C.
hasSubrole
Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
-
D.
notableStudentOrSubordinate
Indicates that one entity is a notable student or subordinate of another entity, highlighting a significant mentorship or hierarchical relationship between them.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03e174c7c8190b04113f6529f5f0e |
completed | March 22, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69c0335b55a48190927a5b1529edb542 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.