Triple
T10298870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorestan Province |
E241570
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Dorud |
E499637
|
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: Dorud | Statement: [Lorestan Province, containsCity, Dorud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorud Context triple: [Lorestan Province, containsCity, Dorud]
-
A.
Dorud
chosen
Dorud is a city in western Iran’s Lorestan Province, known as a regional rail junction and gateway to the surrounding Zagros mountain landscapes.
-
B.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
C.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
D.
Dairut
Dairut is a city in Upper Egypt known as an important urban and agricultural center within the Asyut region along the Nile.
-
E.
Dihya
Dihya, also known as al-Kahina, was a 7th-century Berber queen and military leader who led fierce resistance against the early Muslim expansion in North Africa.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ed50908190962f0d6d049fb964 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d35d5908190bb87100c81f2948a |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:44 a.m.