Triple
T11997577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Points, Manhattan |
E285569
|
entity |
| Predicate | peakNotoriety |
P85819
|
FINISHED |
| Object | 1840s |
—
|
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: 1840s | Statement: [Five Points, Manhattan, peakNotoriety, 1840s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakNotoriety Context triple: [Five Points, Manhattan, peakNotoriety, 1840s]
-
A.
peakCategory
Indicates the classification or type of peak an entity belongs to, such as its rank, prominence, or categorical grouping among peaks.
-
B.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
C.
famePeak
chosen
Indicates the time or point at which an entity reaches its highest level of fame or public recognition.
-
D.
notableVolume
Indicates that an entity is a significant or well-known volume (such as a book or written work) associated with another entity.
-
E.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c172788190b92042e9d10a48bf |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.