Triple
T31308877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallahatchie County Courthouse in Sumner |
E798407
|
entity |
| Predicate | hasPlaqueOrMarker |
P10975
|
FINISHED |
| Object | historical marker related to Emmett Till |
—
|
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: historical marker related to Emmett Till | Statement: [Tallahatchie County Courthouse in Sumner, hasPlaqueOrMarker, historical marker related to Emmett Till]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaqueOrMarker Context triple: [Tallahatchie County Courthouse in Sumner, hasPlaqueOrMarker, historical marker related to Emmett Till]
-
A.
hasPlaque
chosen
Indicates that an entity possesses or displays a plaque, such as a commemorative plate or a deposit on a surface.
-
B.
hasPlaqueText
Indicates that an entity bears or is associated with a specific textual inscription, such as the wording on a plaque or sign.
-
C.
hasPlaquePlacement
Indicates that a plaque has been positioned or installed at a specific location or on a particular object.
-
D.
hasNumberOfPlaques
Indicates the relationship that specifies how many plaques are associated with a given entity.
-
E.
hasPlaqueTextTopic
Indicates that the topic specified is the subject or main theme of the text written on a plaque.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 29, 2026, 9:15 p.m.