Triple
T1940005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoms District |
E41530
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Khoms |
E167177
|
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: Khoms | Statement: [Khoms District, capital, Khoms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoms Context triple: [Khoms District, capital, Khoms]
-
A.
Khoms
chosen
Khoms is a coastal city in northwestern Libya known for its proximity to the ancient Roman archaeological site of Leptis Magna.
-
B.
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.
-
C.
Gorgan
Gorgan is a city in northern Iran, serving as the capital of Golestan Province near the southeastern coast of the Caspian Sea.
-
D.
Lalish
Lalish is a sacred mountain valley in northern Iraq that serves as the principal pilgrimage site and spiritual center of the Yazidi faith.
-
E.
Arak
Arak is a major industrial city in central Iran known for its manufacturing sector and strategic economic importance.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2ca385c8190ad0e4bafbb9b5e5c |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb7616881908bfc82997538ca08 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.