Triple
T11191975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardez taluka |
E264823
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Arpora |
E889864
|
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: Arpora | Statement: [Bardez taluka, hasVillage, Arpora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpora Context triple: [Bardez taluka, hasVillage, Arpora]
-
A.
Arpora
chosen
Arpora is a village in the Indian state of Goa, known for its popular Saturday Night Market and proximity to major beach destinations like Baga and Calangute.
-
B.
Ogori
Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
-
C.
Atripalda
Atripalda is a historic town in southern Italy’s Campania region, known for its archaeological remains and proximity to the city of Avellino.
-
D.
Aptoryama
Aptoryama is a specific Vedic soma sacrifice ritual recognized as a variant form of the Somayajna.
-
E.
Goromonzi
Goromonzi is a town and rural district center in northeastern Zimbabwe known for its agricultural activities and proximity to the capital, Harare.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496ff48448190982d4477039a13d8 |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.