Triple
T7175873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuzla campus |
E167317
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tuzla district |
E180190
|
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: Tuzla district | Statement: [Tuzla campus, locatedIn, Tuzla district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuzla district Context triple: [Tuzla campus, locatedIn, Tuzla district]
-
A.
Tuzla
Tuzla is a major industrial and cultural city in northeastern Bosnia and Herzegovina, known for its salt lakes and long history of salt production.
-
B.
Tuzla
chosen
Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
-
C.
Bosnian-Podrinje Canton Goražde
Bosnian-Podrinje Canton Goražde is a small, predominantly Bosniak-inhabited canton in southeastern Bosnia and Herzegovina, centered on the town of Goražde along the Drina River.
-
D.
Markazi Bihsud District
Markazi Bihsud District is an administrative district in central Afghanistan known for its predominantly Hazara population and mountainous terrain.
-
E.
Dorćol
Dorćol is a historic and culturally vibrant neighborhood in central Belgrade, known for its mix of Ottoman and Austro-Hungarian heritage, riverside location, and lively cafés and nightlife.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88ec6a8819083cbc3f4c39b8c79 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf8a5d7c8190a7b52d46529dacb7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:48 p.m.