Triple
T14019387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash-Sharh |
E337287
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Al-Inshirah |
E337289
|
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: Al-Inshirah | Statement: [Ash-Sharh, alternativeName, Al-Inshirah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Inshirah Context triple: [Ash-Sharh, alternativeName, Al-Inshirah]
-
A.
Al-Inshirah
chosen
Al-Inshirah is the Arabic name of the 94th chapter of the Qur’an, a short Meccan surah that emphasizes spiritual relief and ease following hardship.
-
B.
Al Wasl
Al Wasl is a prominent professional football club based in Dubai, United Arab Emirates, known for its passionate fanbase and historic success in domestic competitions.
-
C.
Rihad
Rihad is a prominent port city in southern Hammerfell in The Elder Scrolls universe, known for its strategic coastal location and Redguard culture.
-
D.
Al-Fath
Al-Fath is a chapter (sura) of the Qur’an that focuses on themes of divine support, peace, and the eventual triumph of the Muslim community.
-
E.
Al-Taysir
Al-Taysir is a seminal medical treatise by the Andalusian physician Ibn Zuhr that systematizes clinical observations and treatments in a clear, practical format.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.