Triple
T11191969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardez taluka |
E264823
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Saligao |
E889848
|
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: Saligao | Statement: [Bardez taluka, hasMajorTown, Saligao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saligao Context triple: [Bardez taluka, hasMajorTown, Saligao]
-
A.
Saligao
chosen
Saligao is a village in the Indian state of Goa, known for its scenic countryside, traditional Goan homes, and prominent parish church.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Xinglong Bay
Xinglong Bay is a scenic coastal bay near Wanning in Hainan, China, known for its sandy beaches and tropical seaside tourism.
-
D.
Lambayong
Lambayong is a municipality in the province of Sultan Kudarat in the Philippines, known for its predominantly agricultural economy and rural communities.
-
E.
Panglao Island
Panglao Island is a popular Philippine island destination known for its white-sand beaches, clear diving waters, and vibrant marine life.
- 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_69e483ec6ca8819082713a278c987756 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.