Triple
T11638427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Babylonian Story |
E276587
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Triangle Distributing |
E276583
|
NE 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: Triangle Distributing | Statement: [The Babylonian Story, distributor, Triangle Distributing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triangle Distributing Context triple: [The Babylonian Story, distributor, Triangle Distributing]
-
A.
Triangle Distributing
chosen
Triangle Distributing is a beverage distribution company known for supplying products such as the gluten-free beer brand Intolerance to retailers.
-
B.
Triangle
"Triangle" is a 2009 psychological horror-thriller film known for its mind-bending time-loop narrative and unsettling atmosphere.
-
C.
Triangle
Triangle is a small sugar-producing town in southeastern Zimbabwe known for its large sugar estates and milling operations.
-
D.
Triangular Field
Triangular Field is a historic battlefield area at Gettysburg, Pennsylvania, known for intense fighting during the American Civil War.
-
E.
Hattenbacher Dreieck
Hattenbacher Dreieck is a major German motorway interchange in Hesse where key Autobahn routes converge, serving as an important junction in the national highway network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82b8b1f48190aa6c78044d3570d1 |
completed | April 27, 2026, 3:37 p.m. |
Created at: April 8, 2026, 9:39 p.m.