Triple
T26175120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eğridere |
E654516
|
entity |
| Predicate | presentDayNameContext |
P167074
|
FINISHED |
| Object |
Ardino, Bulgaria
Ardino is a small town in the Rhodope Mountains of southern Bulgaria, known for its scenic landscapes and mixed Bulgarian-Turkish cultural heritage.
|
E1711449
|
NE FINISHED |
How this triple was built (3 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: Ardino, Bulgaria | Statement: [Eğridere, presentDayNameContext, Ardino, Bulgaria]
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: Ardino, Bulgaria Triple: [Eğridere, presentDayNameContext, Ardino, Bulgaria]
Generated description
Ardino is a small town in the Rhodope Mountains of southern Bulgaria, known for its scenic landscapes and mixed Bulgarian-Turkish cultural heritage.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayNameContext Context triple: [Eğridere, presentDayNameContext, Ardino, Bulgaria]
-
A.
presentDayContext
Indicates that the relationship or action is situated in, or relevant to, the current time period or contemporary context.
-
B.
presentDayNameUsedSince
Indicates that the current name of an entity has been in use since a specified point in time.
-
C.
presentDayNameLanguage
Indicates the language in which the present-day name of an entity is expressed.
-
D.
presentDayYear
Indicates the calendar year in which the present day (current date) falls.
-
E.
presentDayNear
Indicates that one entity is located a short distance from another in the present time or current context.
- F. None of above. chosen
Provenance (7 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11277d70688190af8859def1a55084 |
completed | May 23, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a112d8ab4a481908ccfe11f16d1b4e5 |
completed | May 23, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1132067ae881909318388b7671cfe6 |
completed | May 23, 2026, 4:50 a.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 26, 2026, 8:37 p.m.