Triple
T19684389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Arthur |
E472674
|
entity |
| Predicate | establishedAsPenalStation |
P58954
|
FINISHED |
| Object | 1830 |
—
|
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: 1830 | Statement: [Port Arthur, establishedAsPenalStation, 1830]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsPenalStation Context triple: [Port Arthur, establishedAsPenalStation, 1830]
-
A.
majorPenitentiary
Indicates that an entity serves as a primary or principal penitentiary (major prison) within a given system or jurisdiction.
-
B.
isPenalInstitution
chosen
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
-
C.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
D.
usedForImprisoning
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
-
E.
isOldestStatePrisonIn
Indicates that a prison is the oldest state prison within the specified geographic or political region.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641c225fc81909637d304891f4abd |
completed | April 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:45 p.m.