Triple
T1088887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lander County |
E24114
|
entity |
| Predicate | hasHistoricActivity |
P14827
|
FINISHED |
| Object | 19th-century silver mining |
—
|
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: 19th-century silver mining | Statement: [Lander County, hasHistoricActivity, 19th-century silver mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricActivity Context triple: [Lander County, hasHistoricActivity, 19th-century silver mining]
-
A.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
B.
hasHistoricCommunity
Indicates that an entity is associated with, contains, or is part of a community of historical significance.
-
C.
hasHistoricQuarter
Indicates that an entity possesses or contains a historically significant district or quarter as part of its area or structure.
-
D.
isHistoric
Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
-
E.
hasHistoricalEntity
chosen
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b97d85708190a1630256648aa4a2 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b741b0cc8190be001a16a81f6d9e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.