Triple
T23015072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gleis 17 memorial |
E573009
|
entity |
| Predicate | isTypeOfSite |
P15047
|
FINISHED |
| Object | open-air memorial |
—
|
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: open-air memorial | Statement: [Gleis 17 memorial, isTypeOfSite, open-air memorial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypeOfSite Context triple: [Gleis 17 memorial, isTypeOfSite, open-air memorial]
-
A.
typeOfSite
chosen
Indicates the specific category or kind of site that an entity is classified as.
-
B.
isSiteSpecific
Indicates that something is designed, intended, or valid only for a particular location, context, or site and does not generally apply elsewhere.
-
C.
hasTypeSiteFor
Indicates that one entity serves as the specific site or location designated for a particular type or category of another entity.
-
D.
typeSite
Indicates that a site is classified as being of a particular type or category.
-
E.
coversTypeOfSite
Indicates that one entity provides coverage or applies to a particular category or type of site.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e3c0e08190a7ac747b056ec3ca |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.