Triple
T9093949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratteln |
E217965
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Giebenach
Giebenach is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland.
|
E801568
|
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: Giebenach | Statement: [Pratteln, borderedBy, Giebenach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giebenach Context triple: [Pratteln, borderedBy, Giebenach]
-
A.
Dombach
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
-
B.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
C.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
D.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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: Giebenach Triple: [Pratteln, borderedBy, Giebenach]
Generated description
Giebenach is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giebenach Target entity description: Giebenach is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland.
-
A.
Dombach
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
-
B.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
C.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
D.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b347d4819085b33d0e20834f47 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cbcd5948190a26a705ebd06f0ce |
completed | April 4, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69d12d594cec8190bdabc65a04b286a5 |
completed | April 4, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12db7b224819099427cc571f1046f |
completed | April 4, 2026, 3:26 p.m. |
Created at: March 30, 2026, 7:14 p.m.