Triple
T14511255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Daayen Municipality |
E340398
|
entity |
| Predicate | hasMunicipalCode |
P3943
|
FINISHED |
| Object |
Al Daayen
Al Daayen is a municipality in northeastern Qatar known for its rapidly developing residential areas and proximity to the capital, Doha.
|
E1102698
|
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: Al Daayen | Statement: [Al Daayen Municipality, hasMunicipalCode, Al Daayen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Daayen Context triple: [Al Daayen Municipality, hasMunicipalCode, Al Daayen]
-
A.
Al Raed
Al Raed is a professional football club based in Buraidah, Saudi Arabia, competing in the Saudi Pro League.
-
B.
Al Ghanama
Al Ghanama is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
-
C.
Al Mokawloon
Al Mokawloon is an Egyptian football club known for developing talented players, including international star Mohamed Salah.
-
D.
Al-Balad
Al-Balad is the 90th chapter (surah) of the Qur’an, known for its emphasis on moral struggle, charity, and perseverance in the face of hardship.
-
E.
Tora El-Balad
Tora El-Balad is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
- 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: Al Daayen Triple: [Al Daayen Municipality, hasMunicipalCode, Al Daayen]
Generated description
Al Daayen is a municipality in northeastern Qatar known for its rapidly developing residential areas and proximity to the capital, Doha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Daayen Target entity description: Al Daayen is a municipality in northeastern Qatar known for its rapidly developing residential areas and proximity to the capital, Doha.
-
A.
Al Raed
Al Raed is a professional football club based in Buraidah, Saudi Arabia, competing in the Saudi Pro League.
-
B.
Al Ghanama
Al Ghanama is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
-
C.
Al Mokawloon
Al Mokawloon is an Egyptian football club known for developing talented players, including international star Mohamed Salah.
-
D.
Al-Balad
Al-Balad is the 90th chapter (surah) of the Qur’an, known for its emphasis on moral struggle, charity, and perseverance in the face of hardship.
-
E.
Tora El-Balad
Tora El-Balad is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da48b2c8190a906965a7ebcb607 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f94fd608190bf874869ff15fdf5 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7041102c8190bc6f3d3011004d7a |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 10, 2026, 1:21 a.m.