Triple
T7762110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indianapolis metropolitan area |
E176047
|
entity |
| Predicate | hasPrincipalCity |
P3940
|
FINISHED |
| Object | Carmel |
E488842
|
NE FINISHED |
How this triple was built (2 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: Carmel | Statement: [Indianapolis metropolitan area, hasPrincipalCity, Carmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmel Context triple: [Indianapolis metropolitan area, hasPrincipalCity, Carmel]
-
A.
Carmel
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
-
B.
Carmel, Indiana
chosen
Carmel, Indiana is a rapidly growing suburban city north of Indianapolis known for its affluent communities, extensive roundabout system, and vibrant arts and business districts.
-
C.
Carmel, New York
Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
-
D.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
E.
Canton
Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70404c2108190ad2b900ac9bf582b |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7d658888190af97b83127086a2b |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:09 p.m.