Triple
T3526594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Cortés |
E74553
|
entity |
| Predicate | positionInHistory |
P10549
|
FINISHED |
| Object | post-conquest colonial period in New Spain |
—
|
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: post-conquest colonial period in New Spain | Statement: [Luis Cortés, positionInHistory, post-conquest colonial period in New Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInHistory Context triple: [Luis Cortés, positionInHistory, post-conquest colonial period in New Spain]
-
A.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
B.
positionInEra
chosen
Indicates the temporal placement or role of something within a specific historical or chronological era.
-
C.
historicalPositionStructure
Indicates a relationship where an entity’s role, title, or position is defined within a historically specific organizational or structural context.
-
D.
historicalStatusOf
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
E.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6bb0748190bfccfe25d2ab41b7 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.