Triple
T10616349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendry County |
E276129
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Felda
Felda is a small unincorporated rural community located in Hendry County, Florida, known for its agricultural surroundings.
|
E874945
|
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: Felda | Statement: [Hendry County, hasSettlement, Felda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felda Context triple: [Hendry County, hasSettlement, Felda]
-
A.
Felda
Felda is a small river in central Germany that flows through Hesse and Thuringia before joining the Werra.
-
B.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
C.
Sunland
Sunland is a residential neighborhood in the northeastern San Fernando Valley region of Los Angeles, California, near the foothills of the San Gabriel Mountains.
-
D.
Bunge Land
Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
-
E.
The Great Field
The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
- 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: Felda Triple: [Hendry County, hasSettlement, Felda]
Generated description
Felda is a small unincorporated rural community located in Hendry County, Florida, known for its agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Felda Target entity description: Felda is a small unincorporated rural community located in Hendry County, Florida, known for its agricultural surroundings.
-
A.
Felda
Felda is a small river in central Germany that flows through Hesse and Thuringia before joining the Werra.
-
B.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
C.
Sunland
Sunland is a residential neighborhood in the northeastern San Fernando Valley region of Los Angeles, California, near the foothills of the San Gabriel Mountains.
-
D.
Bunge Land
Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
-
E.
The Great Field
The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6d76dc8190bd8d481fed3225d9 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ecfb9bc81908d8ed054a30be441 |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d960f9b18881909c56f8f3a8499860 |
completed | April 10, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9615b821481909e2061739641b114 |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 8, 2026, 7:33 p.m.