Triple
T2182934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chêne-Bougeries |
E49085
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
De Haller
De Haller is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
|
E243259
|
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: De Haller | Statement: [Chêne-Bougeries, hasNeighbourhood, De Haller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Haller Context triple: [Chêne-Bougeries, hasNeighbourhood, De Haller]
-
A.
Der große Bellheim
Der große Bellheim is a German television miniseries from the early 1990s that follows an aging department store owner fighting to save his business and legacy amid economic and personal upheavals.
-
B.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
C.
Körner
Körner is a German surname borne by various notable figures in fields such as literature, music, and politics.
-
D.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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: De Haller Triple: [Chêne-Bougeries, hasNeighbourhood, De Haller]
Generated description
De Haller is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Haller Target entity description: De Haller is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
-
A.
Der große Bellheim
Der große Bellheim is a German television miniseries from the early 1990s that follows an aging department store owner fighting to save his business and legacy amid economic and personal upheavals.
-
B.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
C.
Körner
Körner is a German surname borne by various notable figures in fields such as literature, music, and politics.
-
D.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0d551881909d7f907378e1b2b7 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da786e48190896cae8fdcee3d83 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea7909c8190a93d87a5d07b84d4 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.