Triple
T31820126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco General Hospital |
E812235
|
entity |
| Predicate | isMajorTraumaCenterFor |
P28274
|
FINISHED |
| Object |
San Francisco
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and role as a global center for technology and innovation.
|
E242
|
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: San Francisco | Statement: [San Francisco General Hospital, isMajorTraumaCenterFor, San Francisco]
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: San Francisco Triple: [San Francisco General Hospital, isMajorTraumaCenterFor, San Francisco]
Generated description
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and role as a global center for technology and innovation.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTraumaCenterFor Context triple: [San Francisco General Hospital, isMajorTraumaCenterFor, San Francisco]
-
A.
hasTraumaCenter
chosen
Indicates that an entity (such as a hospital or facility) includes or is equipped with a designated trauma center capable of providing specialized emergency care for severe injuries.
-
B.
isOnlyLevelITraumaCenterFor
Indicates that one entity serves as the sole Level I trauma center available to another specified region or population.
-
C.
majorHospital
Indicates that a hospital holds a primary or leading status within a healthcare system or region, typically due to its size, capacity, or range of services.
-
D.
designatedAsFlagshipHospitalFor
Indicates that one hospital has been officially selected or recognized as the primary or leading flagship institution for another entity (such as a health system, region, or organization).
-
E.
hasEmergencyDepartmentLevel
Indicates the specific classification or tier of emergency care capability associated with an emergency department.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2d9d55f808819083e390fac638f44e |
completed | June 13, 2026, 6:11 p.m. |
| NEDg | Description generation | batch_6a2d9e0c1d488190917ba0d4de7b9c72 |
completed | June 13, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2d9e83e13081908e7ba2be6d607b5d |
completed | June 13, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 30, 2026, 11:45 p.m.