Triple
T7612964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchener railway station |
E172287
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KITCH
KITCH is the station code for Kitchener railway station in Ontario, Canada, used in rail scheduling, ticketing, and passenger information systems.
|
E677065
|
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: KITCH | Statement: [Kitchener railway station, hasStationCode, KITCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KITCH Context triple: [Kitchener railway station, hasStationCode, KITCH]
-
A.
Kitch
Kitch is the nickname of Kitch Christie, the renowned South African rugby coach who led the Springboks to victory in the 1995 Rugby World Cup.
-
B.
The Kitchen
The Kitchen is a community-focused restaurant group known for its farm-to-table cuisine and mission-driven approach to sustainable, local food.
-
C.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
-
D.
Kiche
Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
-
E.
KCH
KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
- 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: KITCH Triple: [Kitchener railway station, hasStationCode, KITCH]
Generated description
KITCH is the station code for Kitchener railway station in Ontario, Canada, used in rail scheduling, ticketing, and passenger information systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KITCH Target entity description: KITCH is the station code for Kitchener railway station in Ontario, Canada, used in rail scheduling, ticketing, and passenger information systems.
-
A.
Kitch
Kitch is the nickname of Kitch Christie, the renowned South African rugby coach who led the Springboks to victory in the 1995 Rugby World Cup.
-
B.
The Kitchen
The Kitchen is a community-focused restaurant group known for its farm-to-table cuisine and mission-driven approach to sustainable, local food.
-
C.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
-
D.
Kiche
Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
-
E.
KCH
KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa23981c81908168ac0ac9add5d8 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86868dce08190b31229ff2e06fe0c |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c8690ef840819082ecaa16b5cf3f0c |
completed | March 28, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86b70a51c819091590ff094e6e784 |
completed | March 28, 2026, 11:59 p.m. |
Created at: March 27, 2026, 3:55 p.m.