Triple
T11191974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardez taluka |
E264823
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Assagao |
E889847
|
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: Assagao | Statement: [Bardez taluka, hasVillage, Assagao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assagao Context triple: [Bardez taluka, hasVillage, Assagao]
-
A.
Assagao
chosen
Assagao is a picturesque village in North Goa, India, known for its leafy lanes, restored Portuguese-era homes, and growing reputation as a tranquil, upscale residential and boutique tourism hub.
-
B.
Guzara
Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
-
C.
Nambui
Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
-
D.
Nanaue
Nanaue is the humanoid shark supervillain and occasional antihero known as King Shark in DC Comics.
-
E.
Hana Bay
Hana Bay is a scenic coastal inlet on Maui’s eastern shore known for its black-sand beach, calm waters, and views along the Road to Hana.
- 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.