Triple
T909428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rota |
E19624
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Luta
Luta is an alternative name for the island of Rota in the Northern Mariana Islands, a U.S. commonwealth in the western Pacific Ocean.
|
E136286
|
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: Luta | Statement: [Rota, alsoKnownAs, Luta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luta Context triple: [Rota, alsoKnownAs, Luta]
-
A.
Tiagu
Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
-
B.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
-
C.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
E.
Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
- 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: Luta Triple: [Rota, alsoKnownAs, Luta]
Generated description
Luta is an alternative name for the island of Rota in the Northern Mariana Islands, a U.S. commonwealth in the western Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luta Target entity description: Luta is an alternative name for the island of Rota in the Northern Mariana Islands, a U.S. commonwealth in the western Pacific Ocean.
-
A.
Tiagu
Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
-
B.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
-
C.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
E.
Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cee2848190b1f17e8817f092a1 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac762e945c8190a4716a2115689b20 |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac76cf3c34819082dcbe772db7c46b |
completed | March 7, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac77670fa08190827ef34ba9d52a70 |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.