Triple
T9206314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florissant, Missouri |
E220988
|
entity |
| Predicate | originalSettlementName |
P86979
|
FINISHED |
| Object |
St. Ferdinand
St. Ferdinand was the early settlement and parish community that later developed into the modern city of Florissant, Missouri.
|
E785904
|
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: St. Ferdinand | Statement: [Florissant, Missouri, originalSettlementName, St. Ferdinand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Ferdinand Context triple: [Florissant, Missouri, originalSettlementName, St. Ferdinand]
-
A.
Ferdinand
Ferdinand is a masculine given name of Germanic origin historically borne by numerous European nobles and monarchs.
-
B.
Ferdinand
Ferdinand is a 2017 computer-animated family film about a gentle bull who prefers flowers to fighting, produced by Blue Sky Studios and released by 20th Century Fox.
-
C.
Gervasio
Gervasio is the given name of José Gervasio Artigas, the national hero and key independence leader of Uruguay.
-
D.
Ferrera
Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
-
E.
Severiano
Severiano is the given name of legendary Spanish golfer Seve Ballesteros, one of the most charismatic and successful figures in golf history.
- 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: St. Ferdinand Triple: [Florissant, Missouri, originalSettlementName, St. Ferdinand]
Generated description
St. Ferdinand was the early settlement and parish community that later developed into the modern city of Florissant, Missouri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Ferdinand Target entity description: St. Ferdinand was the early settlement and parish community that later developed into the modern city of Florissant, Missouri.
-
A.
Ferdinand
Ferdinand is a masculine given name of Germanic origin historically borne by numerous European nobles and monarchs.
-
B.
Ferdinand
Ferdinand is a 2017 computer-animated family film about a gentle bull who prefers flowers to fighting, produced by Blue Sky Studios and released by 20th Century Fox.
-
C.
Gervasio
Gervasio is the given name of José Gervasio Artigas, the national hero and key independence leader of Uruguay.
-
D.
Ferrera
Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
-
E.
Severiano
Severiano is the given name of legendary Spanish golfer Seve Ballesteros, one of the most charismatic and successful figures in golf history.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd947a0a08190966f22a6207c9120 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e09fbc81908159b386038b3d73 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:26 p.m.