Triple
T9630671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millerntor-Stadion |
E232794
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Heiligengeistfeld
Heiligengeistfeld is a large open area in Hamburg’s St. Pauli district known for hosting events such as the Hamburg DOM fair and various public gatherings.
|
E812048
|
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: Heiligengeistfeld | Statement: [Millerntor-Stadion, locatedNear, Heiligengeistfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiligengeistfeld Context triple: [Millerntor-Stadion, locatedNear, Heiligengeistfeld]
-
A.
Schönfeldwiese
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
-
B.
Heiderhof
Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
C.
Biesterfeld
Biesterfeld was a historic estate in the Principality of Lippe that served as the ancestral seat of the Lippe-Biesterfeld noble line.
-
D.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- 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: Heiligengeistfeld Triple: [Millerntor-Stadion, locatedNear, Heiligengeistfeld]
Generated description
Heiligengeistfeld is a large open area in Hamburg’s St. Pauli district known for hosting events such as the Hamburg DOM fair and various public gatherings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heiligengeistfeld Target entity description: Heiligengeistfeld is a large open area in Hamburg’s St. Pauli district known for hosting events such as the Hamburg DOM fair and various public gatherings.
-
A.
Schönfeldwiese
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
-
B.
Heiderhof
Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
C.
Biesterfeld
Biesterfeld was a historic estate in the Principality of Lippe that served as the ancestral seat of the Lippe-Biesterfeld noble line.
-
D.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b01863c8190a9ec4684804f96bc |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1822e12b8819089d4a64a9980cfcd |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d183c71a44819092f556c8b1301fca |
completed | April 4, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1842ba7088190bc663ede36b2d396 |
completed | April 4, 2026, 9:35 p.m. |
Created at: March 30, 2026, 8:11 p.m.