Triple
T36724625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvador Laurel |
E907157
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Ateneo de Manila University Medical Center, Quezon City, Philippines
Ateneo de Manila University Medical Center in Quezon City is a private teaching and tertiary care hospital affiliated with Ateneo de Manila University in the Philippines.
|
E2196163
|
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: Ateneo de Manila University Medical Center, Quezon City, Philippines | Statement: [Salvador Laurel, deathPlace, Ateneo de Manila University Medical Center, Quezon City, Philippines]
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: Ateneo de Manila University Medical Center, Quezon City, Philippines Triple: [Salvador Laurel, deathPlace, Ateneo de Manila University Medical Center, Quezon City, Philippines]
Generated description
Ateneo de Manila University Medical Center in Quezon City is a private teaching and tertiary care hospital affiliated with Ateneo de Manila University in the Philippines.
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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c89ee4448190909e545b4ce70604 |
completed | May 3, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a383b45288190acb3c8a172c3ebf8 |
completed | June 23, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a3a392dc8488190828dcdbcddbf5c68 |
completed | June 23, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a407600f8819087033b75106fc5c2 |
completed | June 23, 2026, 8:14 a.m. |
Created at: May 3, 2026, 4:12 p.m.