Triple
T31487915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oaxacan Complex of Mexico |
E803327
|
entity |
| Predicate | tectonicUnitType |
P171693
|
FINISHED |
| Object | basement terrane |
—
|
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: basement terrane | Statement: [Oaxacan Complex of Mexico, tectonicUnitType, basement terrane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tectonicUnitType Context triple: [Oaxacan Complex of Mexico, tectonicUnitType, basement terrane]
-
A.
geologicUnitOf
Indicates that one entity is a geologic unit to which the other entity belongs or with which it is associated.
-
B.
hasTypeOfTectonicFeature
Indicates that one entity is characterized by or classified as a specific type of tectonic feature (such as a fault, plate boundary, or rift).
-
C.
lithosphereType
Indicates the classification of a lithospheric unit according to its type (e.g., oceanic, continental, or other defined categories).
-
D.
geologicType
Indicates the specific geological classification or category assigned to a rock, soil, or earth material unit.
-
E.
hasTectonicAffinity
Indicates a relationship where one geological unit or feature shares a common tectonic origin, setting, or structural association with another.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1b60e5481909b64fde96bc5c64a |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 30, 2026, 9:36 p.m.