Triple
T5875082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holmesburg Prison |
E130605
|
entity |
| Predicate | experimentProgramEnd |
P17625
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Holmesburg Prison, experimentProgramEnd, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experimentProgramEnd Context triple: [Holmesburg Prison, experimentProgramEnd, 1970s]
-
A.
endOfExperiment
Indicates that a specific point in time or condition marks the completion or termination of an experiment.
-
B.
endOfActivity
chosen
Indicates that a particular activity has reached its completion or final point in time.
-
C.
implementedProgram
Indicates that an entity has created, developed, or put into operation a particular program or software system.
-
D.
experimentNumber
Indicates the specific identifying number assigned to an experiment within a set of experiments.
-
E.
closureProgram
Indicates that an entity is a program or plan specifically associated with the closure or shutdown of another entity or operation.
- F. None of above.
Provenance (3 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.