Triple
T6746657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samareia |
E154234
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Samareia |
E154234
|
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: Samareia | Statement: [Samareia, label, Samareia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samareia Context triple: [Samareia, label, Samareia]
-
A.
Samareia
chosen
Samareia is the ancient Greek name for Samaria, a historically significant region and city in the central highlands of ancient Israel and the capital of the northern Kingdom of Israel.
-
B.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
C.
Sagala
Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
-
D.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
E.
Candaba
Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b8a0f0819086b802983e8ffcb6 |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b15ded88190a36fb86093ba5a3c |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.