Triple
T17098352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fehrbelliner Platz |
E414907
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FP
FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
|
E1249755
|
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: FP | Statement: [Fehrbelliner Platz, hasStationCode, FP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FP Context triple: [Fehrbelliner Platz, hasStationCode, FP]
-
A.
FP
FP is the station code for Floral Park station on the Long Island Rail Road in New York.
-
B.
PF
PF is the vehicle registration code used on license plates for the German city of Pforzheim.
-
C.
FPF
FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
-
D.
FPF
FPF is the Portuguese Football Federation, the national governing body responsible for organizing and overseeing football in Portugal, including its national teams.
-
E.
FO
FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
- 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: FP Triple: [Fehrbelliner Platz, hasStationCode, FP]
Generated description
FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FP Target entity description: FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
-
A.
FP
FP is the station code for Floral Park station on the Long Island Rail Road in New York.
-
B.
PF
PF is the vehicle registration code used on license plates for the German city of Pforzheim.
-
C.
FPF
FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
-
D.
FPF
FPF is the Portuguese Football Federation, the national governing body responsible for organizing and overseeing football in Portugal, including its national teams.
-
E.
FO
FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbffafb08190baf9e0b4fdf1b404 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eefd5f08190b9eb8a81e45a9921 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012fe2a1b081909483baef845cc2c1 |
completed | May 11, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130c2ad9881909d8a8b64ebb59aa6 |
completed | May 11, 2026, 1:28 a.m. |
Created at: April 10, 2026, 5:35 a.m.