Triple
T11832994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Remo Resolution on Palestine |
E281439
|
entity |
| Predicate | recognizedRightOf |
P3079
|
FINISHED |
| Object | Jewish people |
—
|
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: Jewish people | Statement: [San Remo Resolution on Palestine, recognizedRightOf, Jewish people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedRightOf Context triple: [San Remo Resolution on Palestine, recognizedRightOf, Jewish people]
-
A.
recognizedRight
chosen
Indicates that an agent formally acknowledges and accepts that another party possesses a specific right or entitlement.
-
B.
recognizedSee
Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
-
C.
rightsRecognizedIn
Indicates that certain rights are formally acknowledged or upheld within a specified context, such as a legal system, jurisdiction, or document.
-
D.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
E.
recognizedAlongside
Indicates that two or more entities are acknowledged, identified, or honored together in the same context or occasion.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.