Triple
T8448680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serdica |
E199745
|
entity |
| Predicate | inhabitedBy |
P6481
|
FINISHED |
| Object | Serdi |
E733662
|
NE FINISHED |
How this triple was built (2 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: Serdi | Statement: [Serdica, inhabitedBy, Serdi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serdi Context triple: [Serdica, inhabitedBy, Serdi]
-
A.
Serdi
chosen
The Serdi were an ancient Thracian tribe that inhabited the region around present-day Sofia, Bulgaria, giving their name to the Roman city of Serdica.
-
B.
Serhedi
Serhedi is a regional dialect of Kurmanji Kurdish spoken in parts of the Kurdish-inhabited areas of the Middle East.
-
C.
Sigdal
Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
-
D.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
E.
Sieda
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe445b7988190b53ae45070c70d1d |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39b528f08190a0627cb17a0ffef9 |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.