Triple
T21911641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Pond |
E541078
|
entity |
| Predicate | givesNameTo |
P63
|
FINISHED |
| Object | Crystal Pond Brook |
—
|
NE NERFINISHED |
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: Crystal Pond Brook | Statement: [Crystal Pond, givesNameTo, Crystal Pond Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Pond Brook Context triple: [Crystal Pond, givesNameTo, Crystal Pond Brook]
-
A.
Crystal Pond Brook
chosen
Crystal Pond Brook is a small stream in Massachusetts that serves as one of the minor tributaries feeding into the Saugus River.
-
B.
Green Pond Brook
Green Pond Brook is a small stream in northern New Jersey that serves as a tributary within the Rockaway River watershed.
-
C.
Marsh Brook
Marsh Brook is a small stream in New Hampshire that serves as a tributary of the Winnicut River.
-
D.
Chance Pond Brook
Chance Pond Brook is a stream in New Hampshire that carries water from Webster Lake downstream through the local watershed.
-
E.
Browns Pond Brook
Browns Pond Brook is a small stream in Massachusetts that serves as one of the tributaries feeding into the Saugus River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121da36e88190b42b82641ec54a19 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:41 p.m.