Triple
T13569780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacifico Yokohama |
E324126
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Annex Hall
Annex Hall is a supplementary event and conference facility within the Pacifico Yokohama complex in Yokohama, Japan.
|
E1048608
|
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: Annex Hall | Statement: [Pacifico Yokohama, hasPart, Annex Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annex Hall Context triple: [Pacifico Yokohama, hasPart, Annex Hall]
-
A.
Pantas Hall
Pantas Hall is a notable building and campus landmark located at Pratt Institute’s Brooklyn campus.
-
B.
Wellman Hall
Wellman Hall is an academic building on the University of California, Berkeley campus, commonly associated with classrooms and offices for the social sciences.
-
C.
Plant Hall
Plant Hall is a historic, Moorish Revival-style former luxury hotel that now serves as the iconic centerpiece of the University of Tampa campus.
-
D.
Stabile Hall
Stabile Hall is a residence hall and notable campus building at Pratt Institute’s Brooklyn campus.
-
E.
Benson Hall
Benson Hall is an academic building that houses facilities for the University of Georgia’s Terry College of Business.
- 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: Annex Hall Triple: [Pacifico Yokohama, hasPart, Annex Hall]
Generated description
Annex Hall is a supplementary event and conference facility within the Pacifico Yokohama complex in Yokohama, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annex Hall Target entity description: Annex Hall is a supplementary event and conference facility within the Pacifico Yokohama complex in Yokohama, Japan.
-
A.
Pantas Hall
Pantas Hall is a notable building and campus landmark located at Pratt Institute’s Brooklyn campus.
-
B.
Wellman Hall
Wellman Hall is an academic building on the University of California, Berkeley campus, commonly associated with classrooms and offices for the social sciences.
-
C.
Plant Hall
Plant Hall is a historic, Moorish Revival-style former luxury hotel that now serves as the iconic centerpiece of the University of Tampa campus.
-
D.
Stabile Hall
Stabile Hall is a residence hall and notable campus building at Pratt Institute’s Brooklyn campus.
-
E.
Benson Hall
Benson Hall is an academic building that houses facilities for the University of Georgia’s Terry College of Business.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb61a40819099a62f65a68dff7b |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77640b5308190aaa50e8d5d871832 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 9, 2026, 9:48 p.m.