Triple
T642901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa Carlos Rosario |
E16776
|
entity |
| Predicate | developmentLevel |
P16858
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Playa Carlos Rosario, developmentLevel, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentLevel Context triple: [Playa Carlos Rosario, developmentLevel, low]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
developmentalFor
Indicates that one entity serves as a developmental precursor, stage, or necessary condition for the emergence or maturation of another entity.
-
C.
intelligenceLevel
Indicates the degree or measure of cognitive ability or intelligence attributed to an entity.
-
D.
developmentStart
Indicates the point in time or event when the development process of something begins.
-
E.
developmentBegan
Indicates that the process of creating or developing something was initiated at a particular time or under certain conditions.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f03db7481909e49c325c5f7cdae |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.