Triple
T6195080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri-Chapelle American Cemetery |
E138488
|
entity |
| Predicate | languageOfInformationPanels |
P3681
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Henri-Chapelle American Cemetery, languageOfInformationPanels, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfInformationPanels Context triple: [Henri-Chapelle American Cemetery, languageOfInformationPanels, English]
-
A.
presentedInLanguage
chosen
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
B.
languageOfProduct
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
C.
languageOfOfficialGuides
Indicates the language in which official guides or instructional materials are provided or published.
-
D.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
E.
languageOfInterface
Indicates the language used by or presented in a user interface.
- 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.