Triple
T1690212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthquake Research Institute, University of Tokyo |
E36533
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
|
E190921
|
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: ERI | Statement: [Earthquake Research Institute, University of Tokyo, shortName, ERI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERI Context triple: [Earthquake Research Institute, University of Tokyo, shortName, ERI]
-
A.
ER
ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
-
B.
ER
ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
-
C.
ER
ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
-
D.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
E.
E.I.
"E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
- 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: ERI Triple: [Earthquake Research Institute, University of Tokyo, shortName, ERI]
Generated description
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERI Target entity description: ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
A.
ER
ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
-
B.
ER
ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
-
C.
ER
ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
-
D.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
E.
E.I.
"E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62979da48190a64a04bf352182e0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad79947c908190b807205bd44c3254 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7a1223fc8190b7d62217c17f7517 |
completed | March 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b0787c88190a59a815fa808ac6b |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:29 p.m.