Triple
T6195072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri-Chapelle American Cemetery |
E138488
|
entity |
| Predicate | hasWallOfTheMissing |
P66754
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Henri-Chapelle American Cemetery, hasWallOfTheMissing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWallOfTheMissing Context triple: [Henri-Chapelle American Cemetery, hasWallOfTheMissing, yes]
-
A.
hasWallOfMissing
chosen
Indicates that an entity possesses or features a commemorative wall dedicated to missing persons.
-
B.
numberOfNamesOnWallOfMissing
Indicates the count of individual names that appear on a designated wall listing missing persons.
-
C.
hasMystery
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
D.
isSoughtBy
Indicates that one entity is actively being searched for, pursued, or desired by another entity.
-
E.
placeOfDisappearance
Indicates the location where an entity was last seen or went missing.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.