Triple
T25630338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya world tree |
E642553
|
entity |
| Predicate | symbolicTreeType |
P160928
|
FINISHED |
| Object | ceiba tree |
—
|
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: ceiba tree | Statement: [Maya world tree, symbolicTreeType, ceiba tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicTreeType Context triple: [Maya world tree, symbolicTreeType, ceiba tree]
-
A.
commonTreeType
Indicates that two or more entities share the same type or classification of tree.
-
B.
mainTreeType
Indicates the predominant type of tree that characterizes or dominates a given area, object, or context.
-
C.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
D.
syntacticType
Indicates the grammatical or structural category that characterizes how an expression functions within a syntactic construction.
-
E.
stemType
Indicates the type or form of a stem that an entity possesses or is characterized by.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60cd7b3e88190a1206958c0f0b225 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c32ce088190a620eb59d2499fa9 |
completed | May 2, 2026, 2:37 p.m. |
Created at: April 21, 2026, 5:17 p.m.