Triple
T19042116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D92 road |
E466029
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Satwa
Satwa is a densely populated, traditionally working-class neighborhood in Dubai known for its bustling streets, low-rise buildings, and vibrant mix of South Asian and Arab communities.
|
E1356168
|
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: Satwa | Statement: [D92 road, passesThrough, Satwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satwa Context triple: [D92 road, passesThrough, Satwa]
-
A.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
B.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
C.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
D.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
E.
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
- 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: Satwa Triple: [D92 road, passesThrough, Satwa]
Generated description
Satwa is a densely populated, traditionally working-class neighborhood in Dubai known for its bustling streets, low-rise buildings, and vibrant mix of South Asian and Arab communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Satwa Target entity description: Satwa is a densely populated, traditionally working-class neighborhood in Dubai known for its bustling streets, low-rise buildings, and vibrant mix of South Asian and Arab communities.
-
A.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
B.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
C.
Shenwa
Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
-
D.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
E.
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c54c78788190905dbcdf996b0d9d |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c9bd8cc08190afe552b99bbcd208 |
completed | May 14, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ca8a369881909179015a598eed69 |
completed | May 14, 2026, 1:13 p.m. |
Created at: April 10, 2026, 12:03 p.m.