Triple
T19778166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llandrindod railway station |
E475061
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LLO
LLO is the National Rail station code for Llandrindod railway station in Powys, Wales.
|
E1394178
|
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: LLO | Statement: [Llandrindod railway station, hasStationCode, LLO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLO Context triple: [Llandrindod railway station, hasStationCode, LLO]
-
A.
LLOV
LLOV is the ICAO airport code for Ovda Airport, a joint civilian-military airfield in southern Israel.
-
B.
LÖ
LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
-
C.
L0L
L0L is a Canadian postal code prefix assigned to parts of rural and small-town communities in central Ontario.
-
D.
Lo Lo
"Lo Lo" is a popular Afrobeats song by Nigerian singer-songwriter Omah Lay, known for its smooth melodies and introspective lyrics.
-
E.
LOI
LOI is the common abbreviation for the League of Ireland, the top tier of professional football in the Republic of Ireland.
- 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: LLO Triple: [Llandrindod railway station, hasStationCode, LLO]
Generated description
LLO is the National Rail station code for Llandrindod railway station in Powys, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LLO Target entity description: LLO is the National Rail station code for Llandrindod railway station in Powys, Wales.
-
A.
LLOV
LLOV is the ICAO airport code for Ovda Airport, a joint civilian-military airfield in southern Israel.
-
B.
LÖ
LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
-
C.
L0L
L0L is a Canadian postal code prefix assigned to parts of rural and small-town communities in central Ontario.
-
D.
Lo Lo
"Lo Lo" is a popular Afrobeats song by Nigerian singer-songwriter Omah Lay, known for its smooth melodies and introspective lyrics.
-
E.
LOI
LOI is the common abbreviation for the League of Ireland, the top tier of professional football in the Republic of Ireland.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65361a8e08190b52944aab25e45fa |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd78ce00819097b4df2bff211b31 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be65daf88190a0ed2b6f8075141a |
completed | May 16, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bf1be9648190bac752e8a6ca12bc |
completed | May 16, 2026, 12:49 a.m. |
Created at: April 10, 2026, 1:48 p.m.