Triple
T35073435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baptist Health System (San Antonio) |
E1011944
|
entity |
| Predicate | networkIncludes |
P1393
|
FINISHED |
| Object |
Baptist Emergency Hospitals and freestanding ERs
Baptist Emergency Hospitals and freestanding ERs are a group of community-based emergency care facilities in the San Antonio area that provide 24/7 hospital-level emergency services outside of traditional hospital campuses.
|
E2125087
|
NE FINISHED |
How this triple was built (2 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: Baptist Emergency Hospitals and freestanding ERs | Statement: [Baptist Health System (San Antonio), networkIncludes, Baptist Emergency Hospitals and freestanding ERs]
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: Baptist Emergency Hospitals and freestanding ERs Triple: [Baptist Health System (San Antonio), networkIncludes, Baptist Emergency Hospitals and freestanding ERs]
Generated description
Baptist Emergency Hospitals and freestanding ERs are a group of community-based emergency care facilities in the San Antonio area that provide 24/7 hospital-level emergency services outside of traditional hospital campuses.
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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78658f6fc8190ba08ce880a6568e5 |
completed | May 3, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37c646b83c819093212ae8495507c0 |
completed | June 21, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a37c6e970f48190b35c179e766c58cc |
completed | June 21, 2026, 11:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37cad6f71c81908794928c0e20ab20 |
completed | June 21, 2026, 11:28 a.m. |
Created at: May 3, 2026, 4:01 p.m.