Triple
T4238956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahad Ha'am Street (Jerusalem) |
E94762
|
entity |
| Predicate | commemoratesByRole |
P500
|
FINISHED |
| Object | Hebrew essayist |
—
|
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: Hebrew essayist | Statement: [Ahad Ha'am Street (Jerusalem), commemoratesByRole, Hebrew essayist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesByRole Context triple: [Ahad Ha'am Street (Jerusalem), commemoratesByRole, Hebrew essayist]
-
A.
commemoratesRoleAs
Indicates that something serves to honor or recognize a specific role or position held by an 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.
commemoratedBy
chosen
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
D.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
-
E.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e76b6e0819084d0ce137b5ba74e |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.