Triple
T16985239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nałęczów |
E412047
|
entity |
| Predicate | hasCarPlatesCode |
P26915
|
FINISHED |
| Object |
LPU
LPU is the vehicle registration code assigned to the town of Nałęczów in Poland.
|
E1244302
|
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: LPU | Statement: [Nałęczów, hasCarPlatesCode, LPU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LPU Context triple: [Nałęczów, hasCarPlatesCode, LPU]
-
A.
UNILU
UNILU is the abbreviation for the University of Lucerne, a Swiss higher education institution known for its focus on law, economics, social sciences, theology, and cultural studies.
-
B.
LPU Laguna
LPU Laguna is a satellite campus of Lyceum of the Philippines University located in Laguna, offering higher education programs in various fields.
-
C.
LPU Davao
LPU Davao is a campus of Lyceum of the Philippines University located in Davao City, offering higher education programs under the LPU system.
-
D.
UNLU
UNLU is the acronym for the Unified National Leadership of the Uprising, a coordinating body of Palestinian factions that directed much of the first Intifada against Israeli occupation in the late 1980s.
-
E.
IPU
IPU (Intelligence Processing Unit) is Graphcore's specialized processor architecture designed to accelerate machine learning and artificial intelligence workloads.
- 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: LPU Triple: [Nałęczów, hasCarPlatesCode, LPU]
Generated description
LPU is the vehicle registration code assigned to the town of Nałęczów in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LPU Target entity description: LPU is the vehicle registration code assigned to the town of Nałęczów in Poland.
-
A.
UNILU
UNILU is the abbreviation for the University of Lucerne, a Swiss higher education institution known for its focus on law, economics, social sciences, theology, and cultural studies.
-
B.
LPU Laguna
LPU Laguna is a satellite campus of Lyceum of the Philippines University located in Laguna, offering higher education programs in various fields.
-
C.
LPU Davao
LPU Davao is a campus of Lyceum of the Philippines University located in Davao City, offering higher education programs under the LPU system.
-
D.
UNLU
UNLU is the acronym for the Unified National Leadership of the Uprising, a coordinating body of Palestinian factions that directed much of the first Intifada against Israeli occupation in the late 1980s.
-
E.
IPU
IPU (Intelligence Processing Unit) is Graphcore's specialized processor architecture designed to accelerate machine learning and artificial intelligence workloads.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18af95c8190a25ef0614e1a17f3 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.