Triple
T13772663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llandudno Junction railway station |
E330917
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LLJ
LLJ is the National Rail station code for Llandudno Junction railway station in Conwy, Wales.
|
E1059733
|
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: LLJ | Statement: [Llandudno Junction railway station, hasStationCode, LLJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLJ Context triple: [Llandudno Junction railway station, hasStationCode, LLJ]
-
A.
JLJ
JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
-
B.
LL8
LL8 is General Motors' 4.2-liter Vortec inline-six engine used primarily in early-2000s midsize SUVs and trucks.
-
C.
LLY
LLY is the stock ticker symbol for Eli Lilly and Company, a major American pharmaceutical firm known for developing and manufacturing prescription medicines.
-
D.
LJLJ
LJLJ is the ICAO airport code for Ljubljana Jože Pučnik Airport, the main international airport serving Slovenia’s capital, Ljubljana.
-
E.
JL
JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
- 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: LLJ Triple: [Llandudno Junction railway station, hasStationCode, LLJ]
Generated description
LLJ is the National Rail station code for Llandudno Junction railway station in Conwy, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LLJ Target entity description: LLJ is the National Rail station code for Llandudno Junction railway station in Conwy, Wales.
-
A.
JLJ
JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
-
B.
LL8
LL8 is General Motors' 4.2-liter Vortec inline-six engine used primarily in early-2000s midsize SUVs and trucks.
-
C.
LLY
LLY is the stock ticker symbol for Eli Lilly and Company, a major American pharmaceutical firm known for developing and manufacturing prescription medicines.
-
D.
LJLJ
LJLJ is the ICAO airport code for Ljubljana Jože Pučnik Airport, the main international airport serving Slovenia’s capital, Ljubljana.
-
E.
JL
JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86907cc8190a6a6b475d08f0dc7 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a968c3508190b1a86accb71b34cf |
completed | May 3, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa2f696081908f48d44bf7271abc |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 10:10 p.m.