Triple
T18307525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaunas District Municipality |
E438525
|
entity |
| Predicate | hasNotableSettlement |
P14082
|
FINISHED |
| Object |
Lapių
Lapių is a small settlement in central Lithuania located within the Kaunas District Municipality.
|
E1325462
|
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: Lapių | Statement: [Kaunas District Municipality, hasNotableSettlement, Lapių]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapių Context triple: [Kaunas District Municipality, hasNotableSettlement, Lapių]
-
A.
Lindinis
Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
-
B.
Lapai
Lapai is a town and local government area in Niger State, Nigeria, known as an educational hub due to the presence of Ibrahim Badamasi Babangida University.
-
C.
Liopesi
Liopesi is the former name of the town now known as Paiania, located in the eastern part of the Athens metropolitan area in Greece.
-
D.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
E.
Rausu
Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
- 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: Lapių Triple: [Kaunas District Municipality, hasNotableSettlement, Lapių]
Generated description
Lapių is a small settlement in central Lithuania located within the Kaunas District Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lapių Target entity description: Lapių is a small settlement in central Lithuania located within the Kaunas District Municipality.
-
A.
Lindinis
Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
-
B.
Lapai
Lapai is a town and local government area in Niger State, Nigeria, known as an educational hub due to the presence of Ibrahim Badamasi Babangida University.
-
C.
Liopesi
Liopesi is the former name of the town now known as Paiania, located in the eastern part of the Athens metropolitan area in Greece.
-
D.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
E.
Rausu
Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fcb64748190aadd9d347d611311 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a0415736d308190bbcd27c289f7c73e |
completed | May 13, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04180f776c81909304f5d1105d631d |
completed | May 13, 2026, 6:19 a.m. |
Created at: April 10, 2026, 10:35 a.m.