Triple
T27693406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berry’s Creek |
E698217
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Berry’s Creek Study Area Superfund site
Berry’s Creek Study Area Superfund site is a heavily contaminated industrial and tidal marsh region in the New Jersey Meadowlands designated by the U.S. EPA for long-term cleanup of hazardous substances such as mercury and other pollutants.
|
E1782444
|
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: Berry’s Creek Study Area Superfund site | Statement: [Berry’s Creek, partOf, Berry’s Creek Study Area Superfund site]
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: Berry’s Creek Study Area Superfund site Triple: [Berry’s Creek, partOf, Berry’s Creek Study Area Superfund site]
Generated description
Berry’s Creek Study Area Superfund site is a heavily contaminated industrial and tidal marsh region in the New Jersey Meadowlands designated by the U.S. EPA for long-term cleanup of hazardous substances such as mercury and other pollutants.
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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f635798ac88190a8064ecac0f27e07 |
completed | May 2, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12dab72674819096465c51a729f35a |
completed | May 24, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_6a12db425798819097c2f19d2aa6baaa |
completed | May 24, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12dbac16bc8190aa2c654274fbcb3b |
completed | May 24, 2026, 11:06 a.m. |
Created at: April 27, 2026, 2:52 p.m.