Triple
T17135267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menin Gate Memorial |
E415819
|
entity |
| Predicate | numberOfCommemoratedSoldiers |
P4086
|
FINISHED |
| Object | over 54000 |
—
|
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 54000 | Statement: [Menin Gate Memorial, numberOfCommemoratedSoldiers, over 54000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCommemoratedSoldiers Context triple: [Menin Gate Memorial, numberOfCommemoratedSoldiers, over 54000]
-
A.
numberOfCommemoratedPersons
chosen
Indicates the count of distinct persons who are commemorated or honored in a given context or entity.
-
B.
commemoratedFor
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
-
C.
militaryBranchCommemorated
Indicates that one entity serves to honor or memorialize a specific branch of the military.
-
D.
commemoratedSince
Indicates that a commemoration of one entity for another has been in effect starting from a specific point in time.
-
E.
numberOfMissingCommemorated
Indicates the count of commemorated entities that are missing or unaccounted for in a given context.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.