Triple
T18846924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aumühle station |
E460940
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
AUM
AUM is the station code for Aumühle railway station in Germany’s public rail network.
|
E1345342
|
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: AUM | Statement: [Aumühle station, railwayStationCode, AUM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUM Context triple: [Aumühle station, railwayStationCode, AUM]
-
A.
AUM
AUM is a public university in Montgomery, Alabama, known for its undergraduate and graduate programs in fields such as business, education, liberal arts, nursing, and sciences.
-
B.
AUM
AUM is the sacred syllable in Hinduism and Vedanta that symbolizes ultimate reality and the entirety of consciousness, often used as a fundamental mantra in spiritual practice.
-
C.
Aumi
Aumi is a locality within Pago Pago County in American Samoa, known as part of the broader Pago Pago urban and harbor area in the South Pacific.
-
D.
Namo
Namo is a small settlement on the remote Polynesian outlier atoll of Sikaiana in the Solomon Islands.
-
E.
AUN
AUN is a private American-style university located in Yola, Nigeria, known for its focus on liberal arts education, technology, and development.
- 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: AUM Triple: [Aumühle station, railwayStationCode, AUM]
Generated description
AUM is the station code for Aumühle railway station in Germany’s public rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AUM Target entity description: AUM is the station code for Aumühle railway station in Germany’s public rail network.
-
A.
AUM
AUM is a public university in Montgomery, Alabama, known for its undergraduate and graduate programs in fields such as business, education, liberal arts, nursing, and sciences.
-
B.
AUM
AUM is the sacred syllable in Hinduism and Vedanta that symbolizes ultimate reality and the entirety of consciousness, often used as a fundamental mantra in spiritual practice.
-
C.
Aumi
Aumi is a locality within Pago Pago County in American Samoa, known as part of the broader Pago Pago urban and harbor area in the South Pacific.
-
D.
Namo
Namo is a small settlement on the remote Polynesian outlier atoll of Sikaiana in the Solomon Islands.
-
E.
AUN
AUN is a private American-style university located in Yola, Nigeria, known for its focus on liberal arts education, technology, and development.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567743f788190b85a9fa1e7345a27 |
completed | May 14, 2026, 6:11 a.m. |
| NEDg | Description generation | batch_6a0568fc78748190b487d4c0b444a8ea |
completed | May 14, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056966665c81909d9e82f1fbd1d518 |
completed | May 14, 2026, 6:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.