Triple
T18034785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaulbachplatz |
E431478
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KAB
KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
|
E1302418
|
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: KAB | Statement: [Kaulbachplatz, hasStationCode, KAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAB Context triple: [Kaulbachplatz, hasStationCode, KAB]
-
A.
KABR
KABR is the ICAO airport code for Aberdeen Regional Airport, a public airport serving Aberdeen, South Dakota, in the United States.
-
B.
KBAB
KBAB is the ICAO airport code for Beale Air Force Base, a major United States Air Force installation in California known for hosting high-altitude reconnaissance aircraft.
-
C.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
D.
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
E.
Ka
Ka is an American underground rapper and producer from Brownsville, Brooklyn, known for his minimalist, introspective style and dense, poetic lyricism.
- 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: KAB Triple: [Kaulbachplatz, hasStationCode, KAB]
Generated description
KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KAB Target entity description: KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
-
A.
KABR
KABR is the ICAO airport code for Aberdeen Regional Airport, a public airport serving Aberdeen, South Dakota, in the United States.
-
B.
KBAB
KBAB is the ICAO airport code for Beale Air Force Base, a major United States Air Force installation in California known for hosting high-altitude reconnaissance aircraft.
-
C.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
D.
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
E.
Ka
Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be38766c8190ae95701f4575469c |
completed | April 19, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349b16af88190b1b67765cc133807 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034af2f26c8190823a7c943632e35f |
completed | May 12, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034ba6c5648190bd3d67b66133e738 |
completed | May 12, 2026, 3:47 p.m. |
Created at: April 10, 2026, 10:25 a.m.