Triple
T17941154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaka-i Hayriye |
E448590
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Et Meydanı |
—
|
NE NERFINISHED |
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: Et Meydanı | Statement: [Vaka-i Hayriye, location, Et Meydanı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Et Meydanı Context triple: [Vaka-i Hayriye, location, Et Meydanı]
-
A.
Et Meydanı
chosen
Et Meydanı was the central parade and training ground of the Ottoman Janissaries in Istanbul, later infamous as the site of their violent suppression during the Auspicious Incident of 1826.
-
B.
Meydan
Meydan is a Dubai-based real estate and development company best known for large-scale projects including the Meydan Racecourse and surrounding mixed-use communities.
-
C.
Al-Maidan
Al-Maidan is a residential area and neighborhood located within Kuwait’s Hawalli Governorate.
-
D.
Yeni Kapı
Yeni Kapı is a principal historic gate in the ancient city walls of Diyarbakır, Turkey, serving as one of the main entrances to the fortified old city.
-
E.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad95f4608190b1ebb45944218f07 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.