Triple
T22008162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernald Preserve |
E543503
|
entity |
| Predicate | timePeriodOfIndustrialOperation |
P802
|
FINISHED |
| Object | 1950s–1989 |
—
|
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: 1950s–1989 | Statement: [Fernald Preserve, timePeriodOfIndustrialOperation, 1950s–1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfIndustrialOperation Context triple: [Fernald Preserve, timePeriodOfIndustrialOperation, 1950s–1989]
-
A.
timePeriodOfIndustrialization
Indicates the time period during which a given entity underwent industrialization.
-
B.
timePeriodOfProduction
Indicates the span of time during which something was produced or created.
-
C.
operatedDuring
chosen
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
-
D.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
E.
operatedSince
Indicates that an entity has been in operation continuously from a specified starting time or date.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a2aebc8190951ee0bf9fd8e16d |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:21 p.m.