Triple
T14608921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Bataille |
E342904
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Billom
Billom is a small historic town in central France’s Auvergne region, known for its medieval architecture and traditional markets.
|
E1108389
|
NE FINISHED |
How this triple was built (4 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: Billom | Statement: [Georges Bataille, placeOfBirth, Billom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billom Context triple: [Georges Bataille, placeOfBirth, Billom]
-
A.
Billiri
Billiri is a town and administrative center in northeastern Nigeria known for serving as one of the local government areas within Gombe State.
-
B.
Bille
The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
-
C.
Billinudgel
Billinudgel is a small rural village in the Northern Rivers region of New South Wales, Australia, known for its historic pub and laid-back country atmosphere.
-
D.
Al Luginbill
Al Luginbill is an American football coach best known for his leadership roles in NFL Europe and college football programs.
-
E.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Billom Triple: [Georges Bataille, placeOfBirth, Billom]
Generated description
Billom is a small historic town in central France’s Auvergne region, known for its medieval architecture and traditional markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Billom Target entity description: Billom is a small historic town in central France’s Auvergne region, known for its medieval architecture and traditional markets.
-
A.
Billiri
Billiri is a town and administrative center in northeastern Nigeria known for serving as one of the local government areas within Gombe State.
-
B.
Bille
The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
-
C.
Billinudgel
Billinudgel is a small rural village in the Northern Rivers region of New South Wales, Australia, known for its historic pub and laid-back country atmosphere.
-
D.
Al Luginbill
Al Luginbill is an American football coach best known for his leadership roles in NFL Europe and college football programs.
-
E.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
- F. None of above. chosen
Provenance (5 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94d09e988190a2a2a1332397b412 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd9828129c8190bd7445e99dadc618 |
completed | May 8, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98cf0bcc81909dac826a32daaf04 |
completed | May 8, 2026, 8:03 a.m. |
Created at: April 10, 2026, 1:25 a.m.