Triple
T20443569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penzance railway station |
E501456
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
PNZ
PNZ is the three-letter National Rail station code for Penzance railway station in Cornwall, England.
|
E1431124
|
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: PNZ | Statement: [Penzance railway station, stationCode, PNZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNZ Context triple: [Penzance railway station, stationCode, PNZ]
-
A.
PZ
PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
-
B.
PZ
PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
-
C.
PZ
PZ is the station code for Prinzregentenplatz, a Munich U-Bahn station on the city’s rapid transit network.
-
D.
PZ
PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
-
E.
PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
- 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: PNZ Triple: [Penzance railway station, stationCode, PNZ]
Generated description
PNZ is the three-letter National Rail station code for Penzance railway station in Cornwall, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PNZ Target entity description: PNZ is the three-letter National Rail station code for Penzance railway station in Cornwall, England.
-
A.
PZ
PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
-
B.
PZ
PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
-
C.
PZ
PZ is the station code for Prinzregentenplatz, a Munich U-Bahn station on the city’s rapid transit network.
-
D.
PZ
PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
-
E.
PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfa7dd08190883a37e3480b152c |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088401774081909ac697258222235b |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884aeb868819089de185429e0d99d |
completed | May 16, 2026, 2:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885a1276c8190bc8a843386d6be6a |
completed | May 16, 2026, 2:56 p.m. |
Created at: April 16, 2026, 11:32 a.m.