Triple
T22206941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernand Labori |
E548835
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Labori |
—
|
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: Labori | Statement: [Fernand Labori, familyName, Labori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labori Context triple: [Fernand Labori, familyName, Labori]
-
A.
Labori
chosen
Labori was a prominent French defense lawyer best known for representing Alfred Dreyfus during the politically charged Dreyfus affair.
-
B.
Laborec
Laborec is a river in eastern Slovakia that flows through the Carpathian region and is a tributary of the Latorica River.
-
C.
Laber
Laber is a mountain peak in the Ammergau Alps of Bavaria, Germany, known for its panoramic views and accessibility via a cable car.
-
D.
Laber
Laber is a river in Bavaria, Germany, that flows through the Regensburg district.
-
E.
Obrera
Obrera is a Mexico City Metro station on Line 8, serving the Obrera neighborhood in the central area of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2936a481909aa84c7983ed49ee |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.