Triple
T18560421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziegenhain |
E453622
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Treysa
Treysa is a district of the town Schwalmstadt in the Schwalm-Eder-Kreis of Hesse, Germany, known as a regional center in the Schwalm region.
|
E1329952
|
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: Treysa | Statement: [Ziegenhain, locatedNear, Treysa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treysa Context triple: [Ziegenhain, locatedNear, Treysa]
-
A.
Tignale
Tignale is a small Italian municipality in the Lombardy region, known for its scenic position on the western shore of Lake Garda and its surrounding natural landscapes.
-
B.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
-
C.
Flumenthal
Flumenthal is a municipality in the canton of Solothurn in northwestern Switzerland.
-
D.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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: Treysa Triple: [Ziegenhain, locatedNear, Treysa]
Generated description
Treysa is a district of the town Schwalmstadt in the Schwalm-Eder-Kreis of Hesse, Germany, known as a regional center in the Schwalm region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Treysa Target entity description: Treysa is a district of the town Schwalmstadt in the Schwalm-Eder-Kreis of Hesse, Germany, known as a regional center in the Schwalm region.
-
A.
Tignale
Tignale is a small Italian municipality in the Lombardy region, known for its scenic position on the western shore of Lake Garda and its surrounding natural landscapes.
-
B.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
-
C.
Flumenthal
Flumenthal is a municipality in the canton of Solothurn in northwestern Switzerland.
-
D.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538098a148190b0fc7098ce3c62fd |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ae61fac81909c17b6e9318ed36e |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049c6de51c8190ac839784577fa9b7 |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049d555d208190a729bac48489ed3e |
completed | May 13, 2026, 3:48 p.m. |
Created at: April 10, 2026, 11:42 a.m.