Triple
T36969077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Canyon, California |
E914508
|
entity |
| Predicate | originalRanchName |
P66123
|
FINISHED |
| Object |
Bell Canyon Ranch
Bell Canyon Ranch was the historic ranch property that formed the basis for the modern residential community of Bell Canyon, California.
|
E2206922
|
NE FINISHED |
How this triple was built (3 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: Bell Canyon Ranch | Statement: [Bell Canyon, California, originalRanchName, Bell Canyon Ranch]
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: Bell Canyon Ranch Triple: [Bell Canyon, California, originalRanchName, Bell Canyon Ranch]
Generated description
Bell Canyon Ranch was the historic ranch property that formed the basis for the modern residential community of Bell Canyon, California.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRanchName Context triple: [Bell Canyon, California, originalRanchName, Bell Canyon Ranch]
-
A.
originalEstateName
chosen
Indicates the name originally assigned to an estate or property before any subsequent changes or renamings.
-
B.
fictionalRanchName
Indicates that an entity is associated with a name used for a fictional ranch.
-
C.
originalRailroadName
Indicates the name of the railroad as it was originally known or designated, before any later changes such as mergers, rebrandings, or renamings.
-
D.
originalSettlementName
Indicates the name by which a settlement was originally known before any later renaming or reclassification.
-
E.
originalGivenName
Indicates the personal first name that an individual was originally given at birth or naming, before any later changes.
- F. None of above.
Provenance (6 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c43e86c8190aaa8369455a02a52 |
completed | June 26, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_6a3e2ce08a40819081db007321d0b279 |
completed | June 26, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e458016e881909cef925bc1bad341 |
completed | June 26, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.