Triple
T2181228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobá |
E49046
|
entity |
| Predicate | abandonment |
P37690
|
FINISHED |
| Object | gradual after 10th century |
—
|
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: gradual after 10th century | Statement: [Cobá, abandonment, gradual after 10th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abandonment Context triple: [Cobá, abandonment, gradual after 10th century]
-
A.
abandonedIn
Indicates that one entity was left behind or deserted in the location or context specified by another entity.
-
B.
abandonedBy
Indicates that one entity has been deserted, forsaken, or left behind by another entity that was previously present, responsible, or involved.
-
C.
abandonedReason
Indicates the reason or cause for which something was abandoned, discontinued, or given up.
-
D.
neglects
Indicates a relationship where one party fails to give appropriate attention, care, or consideration to another party or responsibility.
-
E.
drop
Indicates that an entity causes something to fall or be released from a higher position to a lower one.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc434978c8190b9c4dd8411b87f23 |
completed | March 7, 2026, 6:22 a.m. |
Created at: March 4, 2026, 7:45 p.m.