Triple
T21929769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannin Memorial Monument |
E541536
|
entity |
| Predicate | yearDedicated |
P146600
|
FINISHED |
| Object | 1938 |
—
|
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: 1938 | Statement: [Fannin Memorial Monument, yearDedicated, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearDedicated Context triple: [Fannin Memorial Monument, yearDedicated, 1938]
-
A.
durationInYears
Indicates the length of time associated with something, measured in whole or fractional years.
-
B.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
-
C.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
D.
yearObserved
Indicates the specific calendar year during which the referenced event, condition, or measurement was observed or recorded.
-
E.
activeYearsWith
Indicates the span of time during which an entity was actively engaged in a particular role, activity, or association with another entity.
- F. None of above. chosen
Provenance (4 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fdd88081909dc7d4a05fb0ee35 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:47 p.m.