Triple
T10940872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunceli Province |
E258466
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Pertek
Pertek is a town and district in eastern Turkey known for its historic castle and location on the shores of the Keban Dam Lake.
|
E895342
|
NE FINISHED |
How this triple was built (4 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: Pertek | Statement: [Tunceli Province, hasDistrict, Pertek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pertek Context triple: [Tunceli Province, hasDistrict, Pertek]
-
A.
Planitz
Planitz is a district within the city of Zwickau in the German state of Saxony, known historically for its mining and industrial heritage.
-
B.
Pech
Pech is a district (Ortsteil) of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
D.
Toma
Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
-
E.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pertek Triple: [Tunceli Province, hasDistrict, Pertek]
Generated description
Pertek is a town and district in eastern Turkey known for its historic castle and location on the shores of the Keban Dam Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pertek Target entity description: Pertek is a town and district in eastern Turkey known for its historic castle and location on the shores of the Keban Dam Lake.
-
A.
Planitz
Planitz is a district within the city of Zwickau in the German state of Saxony, known historically for its mining and industrial heritage.
-
B.
Pech
Pech is a district (Ortsteil) of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
D.
Toma
Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
-
E.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
- F. None of above. chosen
Provenance (5 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c2821c8190a7b08276c4bfbf33 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c0e940081908c84ea4cf3b877fc |
completed | April 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69e24541cbb481908f14a9cb2787c118 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f48dc88190af9491e8cdc4a532 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.