Triple
T6309254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence American Cemetery |
E141458
|
entity |
| Predicate | missingInActionMemorialized |
P69981
|
FINISHED |
| Object | over 1400 |
—
|
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: over 1400 | Statement: [Florence American Cemetery, missingInActionMemorialized, over 1400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missingInActionMemorialized Context triple: [Florence American Cemetery, missingInActionMemorialized, over 1400]
-
A.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
B.
memorialization
Indicates the act of preserving the memory or honoring the legacy of someone or something, often through a dedicated object, event, or practice.
-
C.
memorializesInjured
Indicates that one entity serves as a memorial or tribute to another entity that has been injured.
-
D.
memorialScope
Indicates the extent or boundaries of what is commemorated or covered by a memorial.
-
E.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647f13a4819095c4ce8c42c5d1fb |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:28 p.m.