Triple
T9107536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubbah area |
E218513
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Jubbah town
Jubbah town is a historic settlement in northern Saudi Arabia known for its nearby ancient rock art and archaeological sites.
|
E779426
|
NE FINISHED |
How this triple was built (4 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: Jubbah town | Statement: [Jubbah area, locatedNear, Jubbah town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jubbah town Context triple: [Jubbah area, locatedNear, Jubbah town]
-
A.
Badr town
Badr town is a small settlement in western Saudi Arabia historically associated with the site of the pivotal Battle of Badr in early Islamic history.
-
B.
Badrashin city
Badrashin city is an urban center in Giza Governorate, Egypt, known for its proximity to several important archaeological and historical sites from ancient Egypt.
-
C.
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
-
D.
Zahleh
Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
-
E.
Diwaniyah
Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jubbah town Triple: [Jubbah area, locatedNear, Jubbah town]
Generated description
Jubbah town is a historic settlement in northern Saudi Arabia known for its nearby ancient rock art and archaeological sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jubbah town Target entity description: Jubbah town is a historic settlement in northern Saudi Arabia known for its nearby ancient rock art and archaeological sites.
-
A.
Badr town
Badr town is a small settlement in western Saudi Arabia historically associated with the site of the pivotal Battle of Badr in early Islamic history.
-
B.
Badrashin city
Badrashin city is an urban center in Giza Governorate, Egypt, known for its proximity to several important archaeological and historical sites from ancient Egypt.
-
C.
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
-
D.
Zahleh
Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
-
E.
Diwaniyah
Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
- F. None of above. chosen
Provenance (5 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0302bfa00819097e752f1d0581d2d |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d0343c1e78819084c7d2ca38f55529 |
completed | April 3, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d034a46b088190b8c056eee73d4eaf |
completed | April 3, 2026, 9:44 p.m. |
Created at: March 30, 2026, 7:16 p.m.