Triple
T3956920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa River |
E85803
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Eldora
Eldora is a small city in central Iowa that serves as the county seat of Hardin County and lies along the scenic Iowa River.
|
E401263
|
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: Eldora | Statement: [Iowa River, passesNear, Eldora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eldora Context triple: [Iowa River, passesNear, Eldora]
-
A.
Estlin
Estlin is the middle name of American poet E. E. Cummings, whose full name is Edward Estlin Cummings.
-
B.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
C.
Norala
Norala is a rural municipality in the province of South Cotabato in the Philippines, known for its agricultural economy and multicultural communities.
-
D.
Willow Bay
Willow Bay is an American television journalist, author, and former model who has worked as a news anchor for major networks and later became dean of the USC Annenberg School for Communication and Journalism.
-
E.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
- 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: Eldora Triple: [Iowa River, passesNear, Eldora]
Generated description
Eldora is a small city in central Iowa that serves as the county seat of Hardin County and lies along the scenic Iowa River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eldora Target entity description: Eldora is a small city in central Iowa that serves as the county seat of Hardin County and lies along the scenic Iowa River.
-
A.
Estlin
Estlin is the middle name of American poet E. E. Cummings, whose full name is Edward Estlin Cummings.
-
B.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
C.
Norala
Norala is a rural municipality in the province of South Cotabato in the Philippines, known for its agricultural economy and multicultural communities.
-
D.
Willow Bay
Willow Bay is an American television journalist, author, and former model who has worked as a news anchor for major networks and later became dean of the USC Annenberg School for Communication and Journalism.
-
E.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95bbb9c8190bd64c5b7ea2f341a |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b1bd1c81909d901ee334cb7b31 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b53490827481909586fb8031a78b49 |
completed | March 14, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b53540217c819089b9ae3441805bac |
completed | March 14, 2026, 10:15 a.m. |
Created at: March 9, 2026, 3:31 p.m.