Triple
T27629543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham Township, Bucks County, Pennsylvania |
E696299
|
entity |
| Predicate | historicPeriodOfIndustrialActivity |
P149688
|
FINISHED |
| Object | colonial era |
—
|
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: colonial era | Statement: [Durham Township, Bucks County, Pennsylvania, historicPeriodOfIndustrialActivity, colonial era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicPeriodOfIndustrialActivity Context triple: [Durham Township, Bucks County, Pennsylvania, historicPeriodOfIndustrialActivity, colonial era]
-
A.
historicalPeriodOfIndustrialUse
chosen
Indicates the historical time span during which an entity was used for industrial purposes.
-
B.
timePeriodOfIndustrialization
Indicates the time period during which a given entity underwent industrialization.
-
C.
historicalPeakIndustrialPeriod
Indicates the time period during which an entity reached its highest level of industrial activity or development.
-
D.
historicalPeriodOfMajorActivity
Indicates the historical period during which an entity carried out its most significant or influential activities.
-
E.
eraOfIndustrialDevelopment
Indicates the historical period during which an entity experienced industrial growth, modernization, or significant development in its industrial sector.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 27, 2026, 2:20 p.m.