Triple
T18087295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Gilberts |
E432868
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nanikai |
—
|
NE NERFINISHED |
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: Nanikai | Statement: [Southern Gilberts, hasPart, Nanikai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanikai Context triple: [Southern Gilberts, hasPart, Nanikai]
-
A.
Nanikai
chosen
Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
-
B.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
C.
Naniwanishi
Naniwanishi is a major urban district within Osaka's Naniwa Ward, known for its dense cityscape and local commercial activity.
-
D.
Ninen-zaka
Ninen-zaka is a historic, stone-paved slope in Kyoto famed for its preserved traditional townscape, teahouses, and shops leading toward Kiyomizu-dera Temple.
-
E.
Nabitasan
Nabitasan is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16234c8190b547e893a829d6c5 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.