Triple
T15609594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern and Eastern Serbia region |
E375251
|
entity |
| Predicate | containsMountain |
P10602
|
FINISHED |
| Object |
Rtanj
Rtanj is a prominent mountain in eastern Serbia, famed for its distinctive pyramid-like shape, rich biodiversity, and associated legends and folklore.
|
E1166967
|
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: Rtanj | Statement: [Southern and Eastern Serbia region, containsMountain, Rtanj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rtanj Context triple: [Southern and Eastern Serbia region, containsMountain, Rtanj]
-
A.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
B.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
C.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
D.
Baneh
Baneh is a Kurdish-populated city in western Iran known as a commercial hub near the Iraqi border within Kurdistan Province.
-
E.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
- 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: Rtanj Triple: [Southern and Eastern Serbia region, containsMountain, Rtanj]
Generated description
Rtanj is a prominent mountain in eastern Serbia, famed for its distinctive pyramid-like shape, rich biodiversity, and associated legends and folklore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rtanj Target entity description: Rtanj is a prominent mountain in eastern Serbia, famed for its distinctive pyramid-like shape, rich biodiversity, and associated legends and folklore.
-
A.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
B.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
C.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
D.
Baneh
Baneh is a Kurdish-populated city in western Iran known as a commercial hub near the Iraqi border within Kurdistan Province.
-
E.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.