Triple
T20256994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peach Orchard, Gettysburg, Pennsylvania |
E498727
|
entity |
| Predicate | hasMarkerOrMonument |
P139422
|
FINISHED |
| Object | multiple regimental monuments |
—
|
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: multiple regimental monuments | Statement: [Peach Orchard, Gettysburg, Pennsylvania, hasMarkerOrMonument, multiple regimental monuments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarkerOrMonument Context triple: [Peach Orchard, Gettysburg, Pennsylvania, hasMarkerOrMonument, multiple regimental monuments]
-
A.
hasScheduledMonument
Indicates that an entity is associated with, or contains, a site or structure officially designated as a scheduled monument.
-
B.
hasInitialPointMonument
Indicates that a monument serves as the designated initial or starting point for a referenced spatial feature or boundary.
-
C.
hasStoneMonument
Indicates that one entity possesses, contains, or features a stone monument associated with it.
-
D.
hasWorkOnMonument
Indicates that an entity has created, contributed to, or performed work on a particular monument.
-
E.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c6693081908ff8bec12f212f7b |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.