Triple
T26281778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhetel |
E661016
|
entity |
| Predicate | hasHolocaustMemorial |
P501
|
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: [Zhetel, hasHolocaustMemorial, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHolocaustMemorial Context triple: [Zhetel, hasHolocaustMemorial, yes]
-
A.
hasMemorialMuseum
Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
-
B.
hasMemorial
chosen
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
ghettoSynagogueComplex
Indicates a relationship where a synagogue is part of, or associated with, a larger complex located within a Jewish ghetto.
-
D.
memorializesVictimsFrom
Indicates that something serves as a memorial specifically honoring victims originating from a particular place or event.
-
E.
HolocaustImpact
Indicates the effect or consequences that the Holocaust had on individuals, groups, societies, or subsequent events.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 26, 2026, 10:01 p.m.