Triple
T21859436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étaples Military Cemetery |
E539720
|
entity |
| Predicate | hasCommemorativeLanguage |
P44904
|
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: [Étaples Military Cemetery, hasCommemorativeLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommemorativeLanguage Context triple: [Étaples Military Cemetery, hasCommemorativeLanguage, English]
-
A.
languageOfCommemoration
chosen
Indicates the language used to express or perform the act of commemoration.
-
B.
hasCommemorationFunction
Indicates that something serves the role or purpose of commemorating an event, person, group, or concept.
-
C.
hasCommemorationScope
Indicates the scope or extent of what is being commemorated in a commemoration-related relationship or event.
-
D.
languageOfHonoredFigure
Indicates the language associated with or used by the person who is being honored.
-
E.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63944d88190b6bd5e6ba4cc8ec1 |
completed | April 28, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:56 p.m.