Triple
T11948415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saqar |
E284362
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Paradise (Jannah) |
E320621
|
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: Paradise (Jannah) | Statement: [Saqar, contrastedWith, Paradise (Jannah)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradise (Jannah) Context triple: [Saqar, contrastedWith, Paradise (Jannah)]
-
A.
Jannah (Paradise)
chosen
Jannah (Paradise) is the eternal, blissful abode in Islamic belief where the righteous dwell in nearness to God, enjoying perfect peace, reward, and happiness.
-
B.
Jannah
Jannah is a character in the Star Wars sequel trilogy, introduced as a former First Order stormtrooper who joins the Resistance.
-
C.
Beheshti
Beheshti is an Iranian surname most notably associated with Mohammad Beheshti, a prominent cleric and key figure in the early Islamic Republic of Iran.
-
D.
جنّاتة
جنّاتة هي بلدة فلسطينية تقع في محافظة بيت لحم بالضفة الغربية وتشتهر بطابعها الريفي وارتباطها بالبيئة الزراعية المحيطة.
-
E.
Jardim de Alah
Jardim de Alah is a neighborhood and park area in Rio de Janeiro, Brazil, known for its canals, green spaces, and proximity to the city’s famous beaches.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90346825c8190ab4482a1fc8eed56 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458e003a0819082d052fd0bb88d8b |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.