Triple
T1711238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Oregon University |
E36987
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
La Grande
La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
|
E193700
|
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: La Grande | Statement: [Eastern Oregon University, city, La Grande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Grande Context triple: [Eastern Oregon University, city, La Grande]
-
A.
Bigorre
Bigorre is a historic cultural region in southwestern France, centered around the foothills of the Pyrenees and now largely within the modern Occitanie administrative region.
-
B.
Kerepakupai Merú
Kerepakupai Merú is the indigenous Pemon name for Angel Falls, the world’s highest uninterrupted waterfall located in Venezuela.
-
C.
Mahameru
Mahameru is the revered local name for Mount Semeru, the highest and one of the most active volcanoes on the island of Java in Indonesia.
-
D.
Las Breas
Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
-
E.
The Great
The Great is a satirical period comedy-drama series that follows a fictionalized rise of Catherine the Great in 18th-century Russia.
- 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: La Grande Triple: [Eastern Oregon University, city, La Grande]
Generated description
La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Grande Target entity description: La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
-
A.
Bigorre
Bigorre is a historic cultural region in southwestern France, centered around the foothills of the Pyrenees and now largely within the modern Occitanie administrative region.
-
B.
Kerepakupai Merú
Kerepakupai Merú is the indigenous Pemon name for Angel Falls, the world’s highest uninterrupted waterfall located in Venezuela.
-
C.
Mahameru
Mahameru is the revered local name for Mount Semeru, the highest and one of the most active volcanoes on the island of Java in Indonesia.
-
D.
Las Breas
Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
-
E.
The Great
The Great is a satirical period comedy-drama series that follows a fictionalized rise of Catherine the Great in 18th-century Russia.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63149288819082e7055d0d292d1d |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8addf4a48190b19cdb861db5eecd |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957912808190be5b6ed8d3f20535 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97accca48190bc43e94337589a5f |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.