Triple
T14269757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuaiba |
E353747
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Fahaheel
Fahaheel is a coastal town in the Ahmadi Governorate of Kuwait known for its residential areas, markets, and proximity to major oil industry facilities.
|
E1089371
|
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: Fahaheel | Statement: [Shuaiba, locatedNear, Fahaheel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahaheel Context triple: [Shuaiba, locatedNear, Fahaheel]
-
A.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
B.
Masfout
Masfout is a mountainous inland town and enclave of the Emirate of Ajman in the United Arab Emirates, known for its cooler climate, agriculture, and scenic landscapes.
-
C.
Farewell Tawaf
Farewell Tawaf is the final circumambulation of the Kaaba performed by pilgrims before leaving Mecca at the end of Hajj or Umrah.
-
D.
Al Habilayn
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
E.
Al Mokawloon
Al Mokawloon is an Egyptian football club known for developing talented players, including international star Mohamed Salah.
- 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: Fahaheel Triple: [Shuaiba, locatedNear, Fahaheel]
Generated description
Fahaheel is a coastal town in the Ahmadi Governorate of Kuwait known for its residential areas, markets, and proximity to major oil industry facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fahaheel Target entity description: Fahaheel is a coastal town in the Ahmadi Governorate of Kuwait known for its residential areas, markets, and proximity to major oil industry facilities.
-
A.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
B.
Masfout
Masfout is a mountainous inland town and enclave of the Emirate of Ajman in the United Arab Emirates, known for its cooler climate, agriculture, and scenic landscapes.
-
C.
Farewell Tawaf
Farewell Tawaf is the final circumambulation of the Kaaba performed by pilgrims before leaving Mecca at the end of Hajj or Umrah.
-
D.
Al Habilayn
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
E.
Al Mokawloon
Al Mokawloon is an Egyptian football club known for developing talented players, including international star Mohamed Salah.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd32682a0481908918570a778e185a |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd3325e8448190960da169f7f9fe40 |
completed | May 8, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33fd92608190a0dcaaafe0cfc51a |
completed | May 8, 2026, 12:53 a.m. |
Created at: April 10, 2026, 1:10 a.m.