Triple
T22111692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heriz |
E546432
|
entity |
| Predicate | productType |
P87
|
FINISHED |
| Object | Heriz rug |
—
|
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: Heriz rug | Statement: [Heriz, productType, Heriz rug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heriz rug Context triple: [Heriz, productType, Heriz rug]
-
A.
Heriz
chosen
Heriz is a renowned carpet-weaving region in northwestern Iran, famous for its durable hand-knotted rugs featuring bold geometric medallion designs.
-
B.
Hairenik
Hairenik is a long-running Armenian-language newspaper historically associated with the Armenian Revolutionary Federation and the Armenian diaspora.
-
C.
Tzurulum
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
D.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
E.
Herbede
Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.