Triple
T15346473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tomanivi |
E366933
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tomaniivi
Tomaniivi is the highest mountain in Fiji, a prominent volcanic peak located on the island of Viti Levu.
|
E1151765
|
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: Tomaniivi | Statement: [Mount Tomanivi, hasAlternativeName, Tomaniivi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomaniivi Context triple: [Mount Tomanivi, hasAlternativeName, Tomaniivi]
-
A.
Tomini
Tomini is an Austronesian language spoken in Central Sulawesi, Indonesia, known as one of the core members of the Tomini–Tolitoli subgroup.
-
B.
Tanö Niha
Tanö Niha is the indigenous name for the Nias people and their island off the western coast of Sumatra, Indonesia, reflecting their distinct culture and identity.
-
C.
Terik
Terik is a Southern Nilotic language spoken by the Terik people of western Kenya, closely related to Nandi and other Kalenjin languages.
-
D.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
E.
Tekeli
Tekeli is a town in southeastern Kazakhstan that hosts a campus of the University of Central Asia and serves as a regional educational hub.
- 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: Tomaniivi Triple: [Mount Tomanivi, hasAlternativeName, Tomaniivi]
Generated description
Tomaniivi is the highest mountain in Fiji, a prominent volcanic peak located on the island of Viti Levu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomaniivi Target entity description: Tomaniivi is the highest mountain in Fiji, a prominent volcanic peak located on the island of Viti Levu.
-
A.
Tomini
Tomini is an Austronesian language spoken in Central Sulawesi, Indonesia, known as one of the core members of the Tomini–Tolitoli subgroup.
-
B.
Tanö Niha
Tanö Niha is the indigenous name for the Nias people and their island off the western coast of Sumatra, Indonesia, reflecting their distinct culture and identity.
-
C.
Terik
Terik is a Southern Nilotic language spoken by the Terik people of western Kenya, closely related to Nandi and other Kalenjin languages.
-
D.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
E.
Tekeli
Tekeli is a town in southeastern Kazakhstan that hosts a campus of the University of Central Asia and serves as a regional educational hub.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f931408190828d87567cecaceb |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff034de0508190aea8068e9c3d04d3 |
completed | May 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.