Triple
T35021187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobel Prize in Chemistry 1981 for Roald Hoffmann |
E1010198
|
entity |
| Predicate | hasLaureateCitizenshipAtTime |
P117776
|
FINISHED |
| Object | United States of America |
—
|
NE NERFINISHED |
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: United States of America | Statement: [Nobel Prize in Chemistry 1981 for Roald Hoffmann, hasLaureateCitizenshipAtTime, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaureateCitizenshipAtTime Context triple: [Nobel Prize in Chemistry 1981 for Roald Hoffmann, hasLaureateCitizenshipAtTime, United States of America]
-
A.
hasLaureateCitizenship
chosen
Indicates that a laureate holds or has held citizenship in a specified country or political entity.
-
B.
hasLaureateAffiliationCountry
Indicates that a laureate is affiliated with an institution or organization located in a specified country.
-
C.
hasLaureateBirthCountry
Indicates that a laureate’s country of birth is the specified country.
-
D.
hasLaureateBirthYear
Indicates that an entity identified as a laureate was born in the specified year.
-
E.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:01 p.m.