Triple
T23308048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mieming Range |
E590503
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Hohe Munde
Hohe Munde is a prominent twin-peaked mountain in the Tyrolean Alps of Austria, popular for hiking, climbing, and ski touring.
|
E1581602
|
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: Hohe Munde | Statement: [Mieming Range, hasPeak, Hohe Munde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohe Munde Context triple: [Mieming Range, hasPeak, Hohe Munde]
-
A.
Dry Mountain
Dry Mountain is the tallest peak in the remote Last Chance Range of eastern California’s Mojave Desert.
-
B.
Itamos Mountain
Itamos Mountain is the tallest peak on Greece’s Sithonia Peninsula, known for its forested slopes and panoramic views over the surrounding coastline.
-
C.
Montaña de Celaque
Montaña de Celaque is a mountainous national park in western Honduras known for its cloud forests and for containing the country’s highest peak.
-
D.
Monte Grande
Monte Grande is a suburban city in the Buenos Aires metropolitan area of Argentina, known as the administrative seat of the Esteban Echeverría Partido.
-
E.
Moncagua
Moncagua is a municipality and town in eastern El Salvador known for its hot springs and agricultural activities.
- 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: Hohe Munde Triple: [Mieming Range, hasPeak, Hohe Munde]
Generated description
Hohe Munde is a prominent twin-peaked mountain in the Tyrolean Alps of Austria, popular for hiking, climbing, and ski touring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohe Munde Target entity description: Hohe Munde is a prominent twin-peaked mountain in the Tyrolean Alps of Austria, popular for hiking, climbing, and ski touring.
-
A.
Dry Mountain
Dry Mountain is the tallest peak in the remote Last Chance Range of eastern California’s Mojave Desert.
-
B.
Itamos Mountain
Itamos Mountain is the tallest peak on Greece’s Sithonia Peninsula, known for its forested slopes and panoramic views over the surrounding coastline.
-
C.
Montaña de Celaque
Montaña de Celaque is a mountainous national park in western Honduras known for its cloud forests and for containing the country’s highest peak.
-
D.
Monte Grande
Monte Grande is a suburban city in the Buenos Aires metropolitan area of Argentina, known as the administrative seat of the Esteban Echeverría Partido.
-
E.
Moncagua
Moncagua is a municipality and town in eastern El Salvador known for its hot springs and agricultural activities.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9e2f4c8190a7b7c89805d85745 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4fd38fa48190958edaece1496a94 |
completed | May 19, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c506b25ec819084b9522fa827abe7 |
completed | May 19, 2026, 11:58 a.m. |
Created at: April 17, 2026, 5:05 p.m.