Triple
T13471596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Averøy Municipality |
E311640
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Henda |
E1042333
|
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: Henda | Statement: [Averøy Municipality, hasSettlement, Henda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henda Context triple: [Averøy Municipality, hasSettlement, Henda]
-
A.
Henda
chosen
Henda is a small Norwegian island located within Averøy Municipality in Møre og Romsdal county.
-
B.
Hendrina
Hendrina is a small town in Mpumalanga, South Africa, known for its coal mining and nearby power stations.
-
C.
Hala
Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
-
D.
Nahila
Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7547f6b1c8190965b239da0b47e93 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.