Triple
T22809607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First State National Historical Park |
E564636
|
entity |
| Predicate | re-designatedAs |
P47464
|
FINISHED |
| Object | national historical park |
—
|
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: national historical park | Statement: [First State National Historical Park, re-designatedAs, national historical park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: re-designatedAs Context triple: [First State National Historical Park, re-designatedAs, national historical park]
-
A.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
B.
subsequentDesignation
chosen
Indicates that one designation or status follows and replaces another in a sequence or timeline.
-
C.
postwarRedesignationOf
Indicates the relationship in which an entity receives a new designation or identity as a result of postwar changes or reorganization.
-
D.
reclassifiedAs
Indicates that an entity’s classification or category has been changed from a previous one to a new one.
-
E.
redesignationYear
Indicates the year in which something was officially redesignated, renamed, or assigned a new status or classification.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5f1f348190a35e87939732c99f |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.