Triple
T7540639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amoskeag Falls |
E178264
|
entity |
| Predicate | hasHistoricalPeriodOfIntensiveIndustrialUse |
P3804
|
FINISHED |
| Object | 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: 19th century | Statement: [Amoskeag Falls, hasHistoricalPeriodOfIntensiveIndustrialUse, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalPeriodOfIntensiveIndustrialUse Context triple: [Amoskeag Falls, hasHistoricalPeriodOfIntensiveIndustrialUse, 19th century]
-
A.
historicalPeakIndustrialPeriod
chosen
Indicates the time period during which an entity reached its highest level of industrial activity or development.
-
B.
hasIndustrialHeritage
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
C.
hasIndustrialSignificance
Indicates that something plays an important role or has notable impact within industrial processes, production, or applications.
-
D.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
-
E.
historicallyUsedFor
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f873b17081908bb70aea0010d072 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.