Triple
T5025449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schaan |
E112963
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Planken
Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
|
E487167
|
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: Planken | Statement: [Schaan, neighboringMunicipality, Planken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planken Context triple: [Schaan, neighboringMunicipality, Planken]
-
A.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
-
B.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
-
C.
Plaka
Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
-
D.
Plaka
Plaka is a traditional Cycladic village that serves as the main town of the Greek island of Milos, known for its whitewashed houses, narrow alleys, and hilltop views over the Aegean Sea.
-
E.
Plaka
Plaka is a traditional mountain village in the Tzoumerka region of Epirus in northwestern Greece, known for its natural scenery and stone-built architecture.
- 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: Planken Triple: [Schaan, neighboringMunicipality, Planken]
Generated description
Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Planken Target entity description: Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
-
A.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
-
B.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
-
C.
Plaka
Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
-
D.
Plaka
Plaka is a traditional Cycladic village that serves as the main town of the Greek island of Milos, known for its whitewashed houses, narrow alleys, and hilltop views over the Aegean Sea.
-
E.
Plaka
Plaka is a traditional mountain village in the Tzoumerka region of Epirus in northwestern Greece, known for its natural scenery and stone-built architecture.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736a0f8c819091d06275954329e9 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be928919c08190be76549e1a41f61e |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be93cfbe2881908cf97dd9ec5d28b5 |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9448b5148190903775d394a095f0 |
completed | March 21, 2026, 12:51 p.m. |
Created at: March 20, 2026, 1:36 p.m.