Triple
T9713592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga trade route |
E235080
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Atil |
E788179
|
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: Atil | Statement: [Volga trade route, connectsCity, Atil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atil Context triple: [Volga trade route, connectsCity, Atil]
-
A.
Atil
chosen
Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
-
B.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
-
C.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
D.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
E.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e087a1c8190aa62c910f88e8516 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f900ca08190a52f042feab2afa3 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.