Triple
T19582440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harku rural municipality |
E490028
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Harku |
—
|
NE NERFINISHED |
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: Harku | Statement: [Harku rural municipality, hasSettlement, Harku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harku Context triple: [Harku rural municipality, hasSettlement, Harku]
-
A.
Harku
chosen
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
-
B.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
-
C.
Hagus
Hagus is a small settlement located on Buka Island in the Autonomous Region of Bougainville, Papua New Guinea.
-
D.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
E.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404e18f88190b7fec59499dd25e8 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.