Triple
T6884956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayden’s Ferry |
E158894
|
entity |
| Predicate | usedAsTownNameUntil |
P73939
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Hayden’s Ferry, usedAsTownNameUntil, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsTownNameUntil Context triple: [Hayden’s Ferry, usedAsTownNameUntil, late 19th century]
-
A.
usedAsCountyNameUntil
Indicates that an entity served as the official name of a county up to a specified point in time.
-
B.
usedAsTownNameInCentury
Indicates that a particular name was in use as the name of a town during a specified century.
-
C.
usedAsCityHallUntil
Indicates that a building or location functioned as the city hall up to a specified end date or time period.
-
D.
servedAsNationalCapitalUntil
Indicates that a place functioned as the national capital of a country or state up to a specified end date, after which it no longer held that status.
-
E.
existedAsCountyUntil
Indicates that an entity functioned with the status or designation of a county up to a specified end date or time period.
- F. None of above. chosen
Provenance (4 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90a2590819092ff253dd66ebe8b |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:23 p.m.