Triple
T13821036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukawir |
E332133
|
entity |
| Predicate | distanceFrom |
P1299
|
FINISHED |
| Object | Madaba |
E355792
|
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: Madaba | Statement: [Mukawir, distanceFrom, Madaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madaba Context triple: [Mukawir, distanceFrom, Madaba]
-
A.
Madaba
chosen
Madaba is a historic Jordanian city renowned for its Byzantine and Umayyad-era mosaics, especially the famous 6th-century mosaic map of the Holy Land.
-
B.
Jerash
Jerash is an ancient city in northern Jordan renowned for its exceptionally well-preserved Greco-Roman ruins and monumental colonnaded streets.
-
C.
Sepphoris
Sepphoris was an important ancient Galilean city in Roman-era Palestine, known as a political and cultural center with a significant Jewish population and notable rabbinic activity.
-
D.
الناصرة
الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
-
E.
Banias
Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0282d4d08190b754cda7683408c4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70454a8819097b5e5091f84be33 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:12 p.m.