Triple
T11204827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esmahan Sultan Mosque |
E265132
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mangalia |
E265132
|
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: Mangalia | Statement: [Esmahan Sultan Mosque, locatedIn, Mangalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangalia Context triple: [Esmahan Sultan Mosque, locatedIn, Mangalia]
-
A.
Mangalia
chosen
Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
-
B.
Pallatanga
Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
-
C.
Tecuci
Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
-
D.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
E.
Dubăsari
Dubăsari is a town in the disputed region of Transnistria, internationally recognized as part of Moldova, known for its strategic location and hydroelectric dam on the Dniester River.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b795f7948190a0dd53e8e034fe58 |
completed | April 20, 2026, 5:20 a.m. |
Created at: April 8, 2026, 9:30 p.m.