Triple
T3390477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oranienburger Tor |
E71404
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
OT
OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
|
E353419
|
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: OT | Statement: [Oranienburger Tor, hasStationCode, OT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OT Context triple: [Oranienburger Tor, hasStationCode, OT]
-
A.
OT
OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
-
B.
OTT
OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
-
C.
TO
TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
-
D.
TO
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
-
E.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
- 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: OT Triple: [Oranienburger Tor, hasStationCode, OT]
Generated description
OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OT Target entity description: OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
-
A.
OT
OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
-
B.
OTT
OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
-
C.
TO
TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
-
D.
TO
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
-
E.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb6682c708190b76a7a16cee7c5aa |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3345a95ac819098be25233b8e0ed5 |
completed | March 12, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69b33542a1008190a1cc4aec663d97bc |
completed | March 12, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3391c4e24819082e9a0f50c1afab8 |
completed | March 12, 2026, 10:07 p.m. |
Created at: March 8, 2026, 3:14 p.m.