Triple
T22473286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansfelden |
E555559
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Fisching
Fisching is a locality within the Austrian town of Ansfelden in the state of Upper Austria.
|
E1539368
|
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: Fisching | Statement: [Ansfelden, hasSubdivision, Fisching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fisching Context triple: [Ansfelden, hasSubdivision, Fisching]
-
A.
Fishbait
Fishbait was the colorful nickname of William "Fishbait" Miller, the long-serving Doorkeeper of the U.S. House of Representatives known for his folksy personality and influence on Capitol Hill.
-
B.
Keep Fishin'
"Keep Fishin'" is a 2002 alternative rock single by Weezer, best known for its catchy melody and a music video featuring The Muppets.
-
C.
Shooting Fish
Shooting Fish is a 1997 British romantic crime comedy film about two con men trying to scam their way to enough money to buy a stately home.
-
D.
Fishke
Fishke is the titular lame Jewish protagonist of Mendele Mocher Sforim’s classic Yiddish novel "Fishke the Lame," known for its blend of social critique and folk humor.
-
E.
Fishing Derby
Fishing Derby is an early Atari 2600 video game designed by David Crane in which two players compete to catch fish while avoiding sharks.
- 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: Fisching Triple: [Ansfelden, hasSubdivision, Fisching]
Generated description
Fisching is a locality within the Austrian town of Ansfelden in the state of Upper Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fisching Target entity description: Fisching is a locality within the Austrian town of Ansfelden in the state of Upper Austria.
-
A.
Fishbait
Fishbait was the colorful nickname of William "Fishbait" Miller, the long-serving Doorkeeper of the U.S. House of Representatives known for his folksy personality and influence on Capitol Hill.
-
B.
Keep Fishin'
"Keep Fishin'" is a 2002 alternative rock single by Weezer, best known for its catchy melody and a music video featuring The Muppets.
-
C.
Shooting Fish
Shooting Fish is a 1997 British romantic crime comedy film about two con men trying to scam their way to enough money to buy a stately home.
-
D.
Fishke
Fishke is the titular lame Jewish protagonist of Mendele Mocher Sforim’s classic Yiddish novel "Fishke the Lame," known for its blend of social critique and folk humor.
-
E.
Fishing Derby
Fishing Derby is an early Atari 2600 video game designed by David Crane in which two players compete to catch fish while avoiding sharks.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2034c81909d1263f2ed114b46 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b125b26008190a232bac277b253c5 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14b7acac819090bfd6144df84be6 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b154f7e0c8190b0ca64d582982d62 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:49 p.m.