Triple
T35827278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germanna Ford |
E1035681
|
entity |
| Predicate | hasCurrentRecognition |
P84315
|
FINISHED |
| Object | Civil War historic interest site |
—
|
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: Civil War historic interest site | Statement: [Germanna Ford, hasCurrentRecognition, Civil War historic interest site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentRecognition Context triple: [Germanna Ford, hasCurrentRecognition, Civil War historic interest site]
-
A.
currentRecognition
chosen
Indicates the recognition or acknowledgment an entity presently receives, such as awards, honors, or formal status it currently holds.
-
B.
recognitionStatus
Indicates the current state or outcome of acknowledging, validating, or officially accepting something or someone.
-
C.
hasReceivedRecognitionFor
Indicates that an entity has been acknowledged, honored, or formally recognized for a particular achievement, contribution, or quality.
-
D.
hasRecognitionScope
Indicates the extent or context within which a recognition, award, or acknowledgment is valid or applies.
-
E.
hasProcessOfRecognition
Indicates that one entity is involved in or characterized by a process of recognizing, identifying, or acknowledging another entity or condition.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 3, 2026, 4:06 p.m.