Triple
T38432068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerald Necklace |
E903830
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bradley Woods Reservation
Bradley Woods Reservation is a wooded public park and conservation area in the Boston area, known for its trails, natural scenery, and role as part of the Emerald Necklace park system.
|
E2269653
|
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: Bradley Woods Reservation | Statement: [Emerald Necklace, hasPart, Bradley Woods Reservation]
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: Bradley Woods Reservation Triple: [Emerald Necklace, hasPart, Bradley Woods Reservation]
Generated description
Bradley Woods Reservation is a wooded public park and conservation area in the Boston area, known for its trails, natural scenery, and role as part of the Emerald Necklace park system.
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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fccdb0f98c8190a87c3dd11cc6f44d |
completed | May 7, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41c29299d88190b51a3d08bbe8a754 |
completed | June 29, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a41c44816a48190b41ad81f2d0cf3bd |
completed | June 29, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41c4a337c081908c9d670b2a4b5363 |
completed | June 29, 2026, 1:04 a.m. |
Created at: May 3, 2026, 4:31 p.m.