Triple
T15908271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florin |
E385780
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Florin City
Florin City is the principal urban and administrative center of the fictional country of Florin in "The Princess Bride" universe.
|
E1183676
|
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: Florin City | Statement: [Florin, hasCapital, Florin City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florin City Context triple: [Florin, hasCapital, Florin City]
-
A.
Davidville
Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
-
B.
Sunrise City
Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
-
C.
Sunrise City
Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
-
D.
Spring City
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
-
E.
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
- 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: Florin City Triple: [Florin, hasCapital, Florin City]
Generated description
Florin City is the principal urban and administrative center of the fictional country of Florin in "The Princess Bride" universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florin City Target entity description: Florin City is the principal urban and administrative center of the fictional country of Florin in "The Princess Bride" universe.
-
A.
Davidville
Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
-
B.
Sunrise City
Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
-
C.
Sunrise City
Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
-
D.
Spring City
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
-
E.
Spring City
Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.