Triple
T5122646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennyroyal Plateau |
E115504
|
entity |
| Predicate | regionalNameOrigin |
P21974
|
FINISHED |
| Object | named for the pennyroyal herb historically common in the area |
—
|
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: named for the pennyroyal herb historically common in the area | Statement: [Pennyroyal Plateau, regionalNameOrigin, named for the pennyroyal herb historically common in the area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalNameOrigin Context triple: [Pennyroyal Plateau, regionalNameOrigin, named for the pennyroyal herb historically common in the area]
-
A.
etymologyRegion
Indicates the geographic region from which a word’s etymological origin or historical linguistic development is derived.
-
B.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
C.
regionallyKnownAs
Indicates that an entity is known by a particular name or designation within a specific geographic region.
-
D.
districtNameOrigin
Indicates that the relationship specifies the origin or source from which a district’s name is derived.
-
E.
regionNamedAfter
chosen
Indicates that a geographic region derives its name from a specific person, place, event, or other entity.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.