Triple
T5174469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittany American Cemetery |
E116762
|
entity |
| Predicate | numberOfMissingCommemoratedApproximate |
P41334
|
FINISHED |
| Object | 500 |
—
|
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: 500 | Statement: [Brittany American Cemetery, numberOfMissingCommemoratedApproximate, 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMissingCommemoratedApproximate Context triple: [Brittany American Cemetery, numberOfMissingCommemoratedApproximate, 500]
-
A.
numberOfMissingCommemorated
chosen
Indicates the count of commemorated entities that are missing or unaccounted for in a given context.
-
B.
numberOfCommemoratedPersons
Indicates the count of distinct persons who are commemorated or honored in a given context or entity.
-
C.
missingCommemoratedNationality
Indicates that the commemorated entity’s nationality is not recorded, specified, or otherwise available.
-
D.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
E.
hasApproximateNumberOfCommunitiesCommemorated
Indicates that an entity is associated with an estimated or non-exact count of communities that are commemorated in relation to it.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7971284481909e6d07b2368a4f76 |
completed | March 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.