Triple
T23931500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwich, Massachusetts |
E602509
|
entity |
| Predicate | formerNeighbor |
P154395
|
FINISHED |
| Object | Dana, Massachusetts |
—
|
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: Dana, Massachusetts | Statement: [Greenwich, Massachusetts, formerNeighbor, Dana, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNeighbor Context triple: [Greenwich, Massachusetts, formerNeighbor, Dana, Massachusetts]
-
A.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
B.
formerPartner
Indicates that one entity was previously in a romantic or partnership relationship with another entity, but that relationship has since ended.
-
C.
formerNeighborhood
Indicates that an entity was previously located in or associated with a particular neighborhood but is no longer situated there.
-
D.
innerNeighbor
Indicates that one entity is directly adjacent to another entity on the inside or interior side of a boundary or structure.
-
E.
formerColleagueOf
Indicates that two entities once worked together as colleagues in the past but no longer do so.
- F. None of above. chosen
Provenance (4 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9c223881908e5fa4b5564848e6 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:58 p.m.