Triple
T13417520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangkajene and Islands Regency |
E313250
|
entity |
| Predicate | regencySeat |
P71777
|
FINISHED |
| Object | Pangkajene |
E1038274
|
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: Pangkajene | Statement: [Pangkajene and Islands Regency, regencySeat, Pangkajene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pangkajene Context triple: [Pangkajene and Islands Regency, regencySeat, Pangkajene]
-
A.
Pangkajene
chosen
Pangkajene is a town in South Sulawesi, Indonesia, serving as the administrative and economic center of the Pangkajene and Islands Regency.
-
B.
Sapopemba
Sapopemba is a metro station on São Paulo’s Line 15–Silver monorail, serving the Sapopemba district in the city’s eastern zone.
-
C.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
D.
Łukta
Łukta is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its proximity to the region’s lakes and forests.
-
E.
Parikia
Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73987cc088190839e8a589086639c |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:39 p.m.