Triple
T14703641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Tui |
E345368
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tui |
E1087384
|
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: Tui | Statement: [Chief Tui, givenName, Tui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tui Context triple: [Chief Tui, givenName, Tui]
-
A.
Tui
Tui is a historic town in northwestern Spain’s Galicia region, known for its medieval architecture and strategic location on the border with Portugal.
-
B.
Tui Cakau
chosen
Tui Cakau is the traditional paramount chiefly title of the Cakaudrove region in Fiji, held by one of the country’s highest-ranking indigenous chiefs.
-
C.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Rongo
Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
-
E.
Taura
Taura is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8221a4819098937018f24a0b44 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.