Triple
T3827300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longfellow Garden |
E88719
|
entity |
| Predicate | eraReflected |
P200
|
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: [Longfellow Garden, eraReflected, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraReflected Context triple: [Longfellow Garden, eraReflected, 19th century]
-
A.
era
chosen
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
-
B.
reflects
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
C.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
D.
eraEnd
Indicates the point in time or event at which a particular era, period, or phase comes to a close.
-
E.
eve
Indicates a relationship where one entity is the evening or night-time counterpart, phase, or occurrence associated with another entity.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.