Triple
T2431452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Rights Memorial |
E52854
|
entity |
| Predicate | inscribedWith |
P34998
|
FINISHED |
| Object | names of individuals killed during the civil rights movement |
—
|
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: names of individuals killed during the civil rights movement | Statement: [Civil Rights Memorial, inscribedWith, names of individuals killed during the civil rights movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscribedWith Context triple: [Civil Rights Memorial, inscribedWith, names of individuals killed during the civil rights movement]
-
A.
inscribedBy
Indicates that one object has another object written, carved, or engraved onto its surface.
-
B.
inscribedOn
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
-
C.
isInscribedOn
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
-
D.
inscriptionFeature
chosen
Indicates that one entity bears or contains an inscribed element or marking that is treated as a notable feature in relation to another entity.
-
E.
inscriptionIncludesLine
Indicates that an inscription contains a specific line of text as one of its components.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.