Triple
T16200089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natata |
E393174
|
entity |
| Predicate | administrativeTerritory |
P8215
|
FINISHED |
| Object | Butaritari |
E93414
|
NE 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: Butaritari | Statement: [Natata, administrativeTerritory, Butaritari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butaritari Context triple: [Natata, administrativeTerritory, Butaritari]
-
A.
Butaritari
chosen
Butaritari is a fertile, heavily vegetated coral atoll in the northern Gilbert Islands of Kiribati, known for its World War II history and traditional subsistence agriculture.
-
B.
Butaro
Butaro is a rural area in northern Rwanda known for its innovative, community-focused district hospital and scenic hilly landscape.
-
C.
Barutana
Barutana is a historic gunpowder storage complex within Belgrade Fortress, now often used as a cultural and event space.
-
D.
Beitunia
Beitunia is a Palestinian town located near Ramallah in the central West Bank.
-
E.
Bakairi
Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22709b0d88190b40787e0520d02ab |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f4f8708190ba1a08860e962c66 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.