Triple
T4200859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habib Bourguiba |
E86060
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Monastir |
E101476
|
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: Monastir | Statement: [Habib Bourguiba, placeOfBirth, Monastir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monastir Context triple: [Habib Bourguiba, placeOfBirth, Monastir]
-
A.
Monastir
chosen
Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
-
B.
Pogradec
Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
-
C.
Prizren
Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
-
D.
Dojran
Dojran is a town in southeastern North Macedonia near the Greek border, known for its proximity to Lake Dojran and its historical significance dating back to ancient and Ottoman times.
-
E.
Tetovo
Tetovo is a city in northwestern North Macedonia known for its multicultural population, Ottoman-era architecture, and proximity to the Šar Mountains.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b76abd848190819c7625a3b42c2f |
completed | March 14, 2026, 7:30 p.m. |
Created at: March 9, 2026, 3:49 p.m.