Triple
T37256764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Hotel (Flemington, New Jersey) |
E924149
|
entity |
| Predicate | hasNotableEraOfProminence |
P138634
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Union Hotel (Flemington, New Jersey), hasNotableEraOfProminence, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableEraOfProminence Context triple: [Union Hotel (Flemington, New Jersey), hasNotableEraOfProminence, 1930s]
-
A.
associatedWithNotableEra
chosen
Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
-
B.
hasNotableEarlyCareerAppearanceOf
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
-
C.
hasNotableYear
Indicates that an entity is associated with a specific year that is particularly significant or noteworthy for it.
-
D.
wasProminentIn
Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
-
E.
hadPeakInfluencePeriod
Indicates the time span during which an entity exerted its greatest or most significant influence.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.