Triple
T11091724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokndal |
E262270
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Åna-Sira |
E238706
|
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: Åna-Sira | Statement: [Sokndal, contains, Åna-Sira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åna-Sira Context triple: [Sokndal, contains, Åna-Sira]
-
A.
Åna-Sira
chosen
Åna-Sira is a small coastal village in southwestern Norway, known for its scenic fjord landscape and location at the mouth of the river Sira on the border between Rogaland and Agder counties.
-
B.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
C.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
D.
Najran
Najran is a city in southwestern Saudi Arabia near the Yemeni border, known for its rich pre-Islamic history, diverse culture, and rapid modern development.
-
E.
Musa Qala
Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ebae8c8190987b474adb7ede47 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d69c8b4819092614e83e855430e |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.