Triple
T8256017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Van |
E193071
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Ahlat
Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
|
E724087
|
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: Ahlat | Statement: [Lake Van, locatedNear, Ahlat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahlat Context triple: [Lake Van, locatedNear, Ahlat]
-
A.
Cabadbaran
Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
-
B.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
C.
Ayaş
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
-
D.
Keban
Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
-
E.
Ayvalık
Ayvalık is a coastal town in northwestern Turkey known for its historic Greek architecture, olive oil production, and scenic Aegean Sea views.
- 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: Ahlat Triple: [Lake Van, locatedNear, Ahlat]
Generated description
Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahlat Target entity description: Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
-
A.
Cabadbaran
Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
-
B.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
C.
Ayaş
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
-
D.
Keban
Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
-
E.
Ayvalık
Ayvalık is a coastal town in northwestern Turkey known for its historic Greek architecture, olive oil production, and scenic Aegean Sea views.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f9f680819088f1d56e0f98974f |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd681457908190b39fa034e9ca05d5 |
completed | April 1, 2026, 6:46 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7dd65fac8190b8f44b1cf2be7bdd |
completed | April 1, 2026, 8:19 p.m. |
Created at: March 30, 2026, 5:49 p.m.