Triple
T152944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of My Experiments with Truth |
E3469
|
entity |
| Predicate | coversEvent |
P7679
|
FINISHED |
| Object | Gandhi's years in South Africa |
—
|
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: Gandhi's years in South Africa | Statement: [The Story of My Experiments with Truth, coversEvent, Gandhi's years in South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversEvent Context triple: [The Story of My Experiments with Truth, coversEvent, Gandhi's years in South Africa]
-
A.
oversawEvent
Indicates that an entity had supervisory or managerial responsibility for the planning, execution, or overall conduct of an event.
-
B.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
C.
basedOnEvent
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
D.
concludedAtEvent
Indicates that an entity’s participation, state, or validity ended as a result of a specific event.
-
E.
venue
Indicates the place or location where an event, activity, or interaction takes place.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2565c727c8190bca9ba6ca52f216a |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.