Triple
T15278021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuwait Bay |
E365193
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Jahra |
E95324
|
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: Jahra | Statement: [Kuwait Bay, adjacentTo, Jahra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jahra Context triple: [Kuwait Bay, adjacentTo, Jahra]
-
A.
Jahra
chosen
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
-
B.
Kherrata
Kherrata is a town in northeastern Algeria known for being one of the centers of the 1945 anti-colonial unrest that was brutally repressed by French authorities.
-
C.
Artouz
Artouz is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
-
D.
Bhamdoun
Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
-
E.
Jezzine
Jezzine is a town in southern Lebanon known for its strategic hilltop location, historic significance, and surrounding pine forests and waterfalls.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef734f488190951d029183d456f5 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.