Triple
T8750801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iowa |
E207951
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Belmond
Belmond is a small city in central Iowa known for its rural community character and agricultural surroundings.
|
E755234
|
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: Belmond | Statement: [Central Iowa, hasCity, Belmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmond Context triple: [Central Iowa, hasCity, Belmond]
-
A.
Fairmont
Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
-
B.
Ritz
Ritz is a popular brand of buttery, lightly salted snack crackers known for their round shape and flaky texture.
-
C.
St. Regis
St. Regis is a luxury hotel brand known for its upscale accommodations, personalized butler service, and association with high-end, iconic properties worldwide.
-
D.
The Ritz
The Ritz is a historic live music venue and nightclub in Manchester, England, renowned for its distinctive sprung dance floor and long-standing role in the city’s nightlife and concert scene.
-
E.
Le Méridien
Le Méridien is an upscale, design-focused international hotel brand known for its European flair and emphasis on art, culture, and contemporary hospitality experiences.
- 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: Belmond Triple: [Central Iowa, hasCity, Belmond]
Generated description
Belmond is a small city in central Iowa known for its rural community character and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belmond Target entity description: Belmond is a small city in central Iowa known for its rural community character and agricultural surroundings.
-
A.
Fairmont
Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
-
B.
Ritz
Ritz is a popular brand of buttery, lightly salted snack crackers known for their round shape and flaky texture.
-
C.
St. Regis
St. Regis is a luxury hotel brand known for its upscale accommodations, personalized butler service, and association with high-end, iconic properties worldwide.
-
D.
The Ritz
The Ritz is a historic live music venue and nightclub in Manchester, England, renowned for its distinctive sprung dance floor and long-standing role in the city’s nightlife and concert scene.
-
E.
Le Méridien
Le Méridien is an upscale, design-focused international hotel brand known for its European flair and emphasis on art, culture, and contemporary hospitality experiences.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf431db5a88190a579b43370a8e887 |
completed | April 3, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69cf45ff020c81909bfe20de50d3661a |
completed | April 3, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf46ab85088190b12e6eb969f2c65b |
completed | April 3, 2026, 4:48 a.m. |
Created at: March 30, 2026, 6:39 p.m.