Triple
T18057329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Navy of Oman |
E432071
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object |
Wudam Al Sahil
Wudam Al Sahil is a coastal town in Oman that serves as a key military and naval hub for the country.
|
E1303983
|
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: Wudam Al Sahil | Statement: [Royal Navy of Oman, garrison, Wudam Al Sahil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wudam Al Sahil Context triple: [Royal Navy of Oman, garrison, Wudam Al Sahil]
-
A.
El Sebaia
El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
-
B.
Harb al-Ilgha
Harb al-Ilgha is the Arabic name for the 1990 "War of Elimination," a violent internal conflict among Lebanese Christian militias during the final phase of the Lebanese Civil War.
-
C.
Shati Al-Qurm
Shati Al-Qurm is an upscale coastal district in Muscat, Oman, known for its beaches, embassies, and prominent cultural venues.
-
D.
Nad Al Sheba
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
-
E.
Khaldiya
Khaldiya is a residential district in Kuwait City known for its middle-class housing and proximity to major urban amenities.
- 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: Wudam Al Sahil Triple: [Royal Navy of Oman, garrison, Wudam Al Sahil]
Generated description
Wudam Al Sahil is a coastal town in Oman that serves as a key military and naval hub for the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wudam Al Sahil Target entity description: Wudam Al Sahil is a coastal town in Oman that serves as a key military and naval hub for the country.
-
A.
El Sebaia
El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
-
B.
Harb al-Ilgha
Harb al-Ilgha is the Arabic name for the 1990 "War of Elimination," a violent internal conflict among Lebanese Christian militias during the final phase of the Lebanese Civil War.
-
C.
Shati Al-Qurm
Shati Al-Qurm is an upscale coastal district in Muscat, Oman, known for its beaches, embassies, and prominent cultural venues.
-
D.
Nad Al Sheba
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
-
E.
Khaldiya
Khaldiya is a residential district in Kuwait City known for its middle-class housing and proximity to major urban amenities.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c103cedc819086a905269b118795 |
completed | April 19, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0356674d7c8190ac48575665c2364b |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a0357eec5b48190b8e8c9fde80dcc65 |
completed | May 12, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03586945708190ba31099fd01de79b |
completed | May 12, 2026, 4:42 p.m. |
Created at: April 10, 2026, 10:26 a.m.