Triple
T9781390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrowverse |
E237380
|
entity |
| Predicate | featuresLocation |
P7690
|
FINISHED |
| Object | National City |
E139384
|
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: National City | Statement: [Arrowverse, featuresLocation, National City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National City Context triple: [Arrowverse, featuresLocation, National City]
-
A.
National City
chosen
National City is a small coastal city in Southern California, located just south of downtown San Diego and known as one of the oldest cities in the region.
-
B.
The Hartford
The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
-
C.
Braintree
Braintree is a suburban town in Norfolk County, Massachusetts, located just south of Boston and known as part of the Greater Boston metropolitan area.
-
D.
Braintree
Braintree is a payment processing company known for providing online and mobile payment solutions for businesses, including support for credit cards, digital wallets, and in-app transactions.
-
E.
Braintree
Braintree is a historic market town in Essex, England, known for its textile heritage and role in the county’s industrial development.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b23cb88190b458ab18d5f7f493 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd2e5f4c81908a3c132df6440947 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:27 p.m.