Triple
T5862338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Depot, Dublin |
E130304
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
The Point
The Point was the original name of Dublin's major indoor entertainment and events venue now known as the 3Arena.
|
E550094
|
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: The Point | Statement: [Point Depot, Dublin, formerName, The Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Point Context triple: [Point Depot, Dublin, formerName, The Point]
-
A.
The Point
The Point is ESPN's primary NHL studio show featuring analysis, highlights, and discussion of hockey news and games.
-
B.
The Pointe
The Pointe is a waterfront dining, shopping, and entertainment destination located on Dubai’s Palm Jumeirah, known for its views of Atlantis, The Palm and its large fountain shows.
-
C.
The Point Men
The Point Men is a film featuring actress Kerry Fox in a prominent role.
-
D.
Vantage Point
Vantage Point is a 2008 political action-thriller film, starring Matthew Fox among an ensemble cast, that reconstructs an assassination attempt on the U.S. President from multiple characters’ perspectives.
-
E.
Ponto de Parada
Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
- 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: The Point Triple: [Point Depot, Dublin, formerName, The Point]
Generated description
The Point was the original name of Dublin's major indoor entertainment and events venue now known as the 3Arena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Point Target entity description: The Point was the original name of Dublin's major indoor entertainment and events venue now known as the 3Arena.
-
A.
The Point
The Point is ESPN's primary NHL studio show featuring analysis, highlights, and discussion of hockey news and games.
-
B.
The Pointe
The Pointe is a waterfront dining, shopping, and entertainment destination located on Dubai’s Palm Jumeirah, known for its views of Atlantis, The Palm and its large fountain shows.
-
C.
The Point Men
The Point Men is a film featuring actress Kerry Fox in a prominent role.
-
D.
Vantage Point
Vantage Point is a 2008 political action-thriller film, starring Matthew Fox among an ensemble cast, that reconstructs an assassination attempt on the U.S. President from multiple characters’ perspectives.
-
E.
Ponto de Parada
Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03589f74881908cfa4f250263b97d |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1ca4e488190aceb451ab5826818 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a27816d0819096e69a0117200b49 |
completed | March 23, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a323d9248190aa803c27be3d5eec |
completed | March 23, 2026, 2:19 a.m. |
Created at: March 22, 2026, 3:56 p.m.