Triple
T3238171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khabur River (Tigris tributary) |
E67903
|
entity |
| Predicate | hasNameInArabic |
P6450
|
FINISHED |
| Object |
الخَابُور
الخَابُور هو نهر يقع في منطقة بلاد الرافدين العليا ويُعد من الروافد الرئيسية لنهر الفرات في سوريا.
|
E340430
|
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: الخَابُور | Statement: [Khabur River (Tigris tributary), hasNameInArabic, الخَابُور]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: الخَابُور Context triple: [Khabur River (Tigris tributary), hasNameInArabic, الخَابُور]
-
A.
El Tebbin
El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
-
B.
Rissala
Rissala is a locality in Finland known primarily for hosting a major Finnish Air Force base associated with the Karelian Air Command.
-
C.
The Harafish
The Harafish is a celebrated novel by Egyptian Nobel laureate Naguib Mahfouz that traces the rise and fall of a Cairo alley’s families across generations, blending mythic storytelling with social realism.
-
D.
Al Mandaq
Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
-
E.
Tabiriyya
Tabiriyya is a sub-school within the Zaydi branch of Shia Islam, representing a distinct theological and legal tradition in that sect.
- 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: الخَابُور Triple: [Khabur River (Tigris tributary), hasNameInArabic, الخَابُور]
Generated description
الخَابُور هو نهر يقع في منطقة بلاد الرافدين العليا ويُعد من الروافد الرئيسية لنهر الفرات في سوريا.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: الخَابُور Target entity description: الخَابُور هو نهر يقع في منطقة بلاد الرافدين العليا ويُعد من الروافد الرئيسية لنهر الفرات في سوريا.
-
A.
El Tebbin
El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
-
B.
Rissala
Rissala is a locality in Finland known primarily for hosting a major Finnish Air Force base associated with the Karelian Air Command.
-
C.
The Harafish
The Harafish is a celebrated novel by Egyptian Nobel laureate Naguib Mahfouz that traces the rise and fall of a Cairo alley’s families across generations, blending mythic storytelling with social realism.
-
D.
Al Mandaq
Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
-
E.
Tabiriyya
Tabiriyya is a sub-school within the Zaydi branch of Shia Islam, representing a distinct theological and legal tradition in that sect.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef3b04081908ce9b788e2e5c63c |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774a97c481908be820bc5ddf786d |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b2780e41e0819080ddb26668f32838 |
completed | March 12, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bd238a48190b9d13ee8a8bc955d |
completed | March 12, 2026, 8:39 a.m. |
Created at: March 8, 2026, 3:08 p.m.