Triple
T10987344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilad al-Sham |
E259663
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | ash-Sham |
E726468
|
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: ash-Sham | Statement: [Bilad al-Sham, knownAs, ash-Sham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ash-Sham Context triple: [Bilad al-Sham, knownAs, ash-Sham]
-
A.
Ayn al-Arab
Ayn al-Arab is a town in northern Syria, better known internationally by its Kurdish name Kobanî and noted for its strategic location near the Turkish border and its role in the Syrian conflict.
-
B.
Syrian region
chosen
The Syrian region is a historical geographic area in the Eastern Mediterranean encompassing much of modern Syria and surrounding territories, long contested and ruled by various ancient empires.
-
C.
Al Sharqi
Al Sharqi is a prominent ruling family in the United Arab Emirates, best known for governing the emirate of Fujairah.
-
D.
Jordan and Syria
Jordan and Syria are neighboring Middle Eastern countries that share a land border and have historically complex political, economic, and water-resource relationships.
-
E.
Sharq
Sharq is a prominent commercial and administrative district in Kuwait City known for its waterfront developments, shopping centers, and modern urban landscape.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b3c8388190be77e95d56979a7f |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344e9c66c81909163cea6aa9276e0 |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.