Triple
T14937506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obskaya–Bovanenkovo railway |
E372433
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Bovanenkovo |
E1128589
|
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: Bovanenkovo | Statement: [Obskaya–Bovanenkovo railway, endPoint, Bovanenkovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bovanenkovo Context triple: [Obskaya–Bovanenkovo railway, endPoint, Bovanenkovo]
-
A.
Bovanenkovo settlement
chosen
Bovanenkovo settlement is a remote workers’ community in Russia’s Yamal Peninsula that serves as the main residential and operational base for personnel at the Bovanenkovo gas field.
-
B.
Orekhovets
Orekhovets is an alternative name for Oreshek, a historic Russian fortress located at the source of the Neva River near Lake Ladoga.
-
C.
Boyana
Boyana is a picturesque residential neighborhood at the foot of Vitosha Mountain in Sofia, Bulgaria, known for its historic Boyana Church and affluent villas.
-
D.
Puzrish-Dagan
Puzrish-Dagan was a major Ur III-period Mesopotamian administrative center known for its extensive archive of economic and bureaucratic cuneiform tablets.
-
E.
Tsarevo
Tsarevo is a coastal town and popular seaside resort on the Black Sea in southeastern Bulgaria.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd69df481908d8b1a5e6add0a7b |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:37 a.m.