Triple
T6783482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongan paʻanga |
E155740
|
entity |
| Predicate | hasSubunitNameInTongan |
P72808
|
FINISHED |
| Object | seniti |
—
|
LITERAL FINISHED |
How this triple was built (2 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: seniti | Statement: [Tongan paʻanga, hasSubunitNameInTongan, seniti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubunitNameInTongan Context triple: [Tongan paʻanga, hasSubunitNameInTongan, seniti]
-
A.
hasSubunitName
Indicates that an entity includes or is associated with a named subunit or component as part of its structure or organization.
-
B.
hasPalauanName
Indicates that an entity has a name expressed in the Palauan language.
-
C.
hasHawaiianName
Indicates that an entity possesses a name in the Hawaiian language.
-
D.
hasNameInTagalog
Indicates that an entity has a specific name expressed in the Tagalog language.
-
E.
subdivisionNameLanguage
Indicates the language in which the name of a subdivision (such as a region, district, or administrative unit) is expressed.
- F. None of above. chosen
Provenance (4 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28bdc3c8190aa60616d89db66ed |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:14 p.m.