Triple
T30607086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come On! |
E779073
|
entity |
| Predicate | updatesAnalysisOf |
P169609
|
FINISHED |
| Object | The Limits to Growth |
—
|
NE NERFINISHED |
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: The Limits to Growth | Statement: [Come On!, updatesAnalysisOf, The Limits to Growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: updatesAnalysisOf Context triple: [Come On!, updatesAnalysisOf, The Limits to Growth]
-
A.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
B.
analysisMode
Indicates that an entity is operating under a specific analytical configuration or method for processing or evaluating information.
-
C.
hasAnalysis
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
D.
analysisType
Indicates the specific kind or category of analysis being applied or performed in relation to an entity or dataset.
-
E.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689b705108190a8e24035079b3948 |
completed | May 2, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:25 p.m.