Triple
T18406274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duklja |
E450132
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Doclea
Doclea was an ancient city in present-day Montenegro that served as a key political and administrative center in the early medieval Balkans.
|
E1322324
|
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: Doclea | Statement: [Duklja, capital, Doclea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doclea Context triple: [Duklja, capital, Doclea]
-
A.
Huridocs
Huridocs is an international NGO that develops tools and strategies to help human rights organizations manage, analyze, and use information effectively.
-
B.
Docus
Docus is an alternative name for Dok, likely referring to the same entity, brand, or product under a different designation.
-
C.
Zoho Docs
Zoho Docs is a cloud-based document management and collaboration platform that allows users to create, store, share, and manage files online as part of the Zoho productivity suite.
-
D.
DOCU
DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
-
E.
docuverse
Docuverse is Ted Nelson’s visionary concept of a universal, interconnected digital library where all documents are permanently linked and traceable across a global hypertext system.
- 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: Doclea Triple: [Duklja, capital, Doclea]
Generated description
Doclea was an ancient city in present-day Montenegro that served as a key political and administrative center in the early medieval Balkans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doclea Target entity description: Doclea was an ancient city in present-day Montenegro that served as a key political and administrative center in the early medieval Balkans.
-
A.
Huridocs
Huridocs is an international NGO that develops tools and strategies to help human rights organizations manage, analyze, and use information effectively.
-
B.
Docus
Docus is an alternative name for Dok, likely referring to the same entity, brand, or product under a different designation.
-
C.
Zoho Docs
Zoho Docs is a cloud-based document management and collaboration platform that allows users to create, store, share, and manage files online as part of the Zoho productivity suite.
-
D.
DOCU
DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
-
E.
docuverse
Docuverse is Ted Nelson’s visionary concept of a universal, interconnected digital library where all documents are permanently linked and traceable across a global hypertext system.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51957ac7081909a2dd2b2308e4170 |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2480ec881909d92a2303fc8409f |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e341afa881909fce49af047d0a83 |
completed | May 13, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e3ac2f4081908e086f8efd1393ae |
completed | May 13, 2026, 2:36 a.m. |
Created at: April 10, 2026, 10:46 a.m.