Triple
T20559368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ORWO film production |
E504804
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Agfa |
—
|
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: Agfa | Statement: [ORWO film production, competesWith, Agfa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agfa Context triple: [ORWO film production, competesWith, Agfa]
-
A.
Agfa
chosen
Agfa is a historic German company best known for its photographic films, cameras, and imaging technologies.
-
B.
Fira
Fira is a picturesque town on the Greek island of Santorini, known for its whitewashed buildings, cliffside views over the caldera, and vibrant tourism scene.
-
C.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
D.
Agadagba
Agadagba is a town and local settlement located within the Ohimini area of Benue State, Nigeria.
-
E.
Galafi
Galafi is a small border town in Djibouti that serves as a key road crossing and trade gateway between Djibouti and Ethiopia.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5e178648190910795bae5422e50 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.