Triple
T17082029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rongo |
E414495
|
entity |
| Predicate | worshippedIn |
P2291
|
FINISHED |
| Object | Mangaia |
E230620
|
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: Mangaia | Statement: [Rongo, worshippedIn, Mangaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangaia Context triple: [Rongo, worshippedIn, Mangaia]
-
A.
Mangaia
chosen
Mangaia is the southernmost and second-largest of the Cook Islands, known for its rugged limestone cliffs, ancient makatea landscape, and rich Polynesian culture.
-
B.
Kaiarahi
Kaiarahi is a roll-on/roll-off passenger and vehicle ferry operated by New Zealand’s Interislander service across Cook Strait.
-
C.
Rakiraki
Rakiraki is a small coastal town in northern Viti Levu, Fiji, known as a local commercial center and gateway to nearby islands and dive sites.
-
D.
Arutua
Arutua is a coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian community.
-
E.
Korangi
Korangi is a major industrial and residential area in Karachi, Pakistan, known for its large industrial estate and dense urban population.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe408d48190b4f52c2102eae7c2 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee416c4819087e7ae0ead47867a |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.