Triple
T11240170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elazığ Province |
E266050
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Karakoçan
Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
|
E913383
|
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: Karakoçan | Statement: [Elazığ Province, hasSettlement, Karakoçan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karakoçan Context triple: [Elazığ Province, hasSettlement, Karakoçan]
-
A.
Yakapınar
Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
-
B.
Kurukdere
Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
-
C.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
-
D.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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: Karakoçan Triple: [Elazığ Province, hasSettlement, Karakoçan]
Generated description
Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karakoçan Target entity description: Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
-
A.
Yakapınar
Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
-
B.
Kurukdere
Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
-
C.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
-
D.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad79e4788190af39186f37600a64 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12eee348190bee6c84587e4955d |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4be2bb8c88190a21773b0c43b6b99 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 8, 2026, 9:30 p.m.