Triple
T38126577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmer, Massachusetts |
E952090
|
entity |
| Predicate | railNicknameOrigin |
P136427
|
FINISHED |
| Object | presence of seven railroads historically |
—
|
LITERAL 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: presence of seven railroads historically | Statement: [Palmer, Massachusetts, railNicknameOrigin, presence of seven railroads historically]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railNicknameOrigin Context triple: [Palmer, Massachusetts, railNicknameOrigin, presence of seven railroads historically]
-
A.
railwayNickname
chosen
Indicates that a railway or rail line is known by a particular informal or colloquial nickname.
-
B.
originalRailroadName
Indicates the name of the railroad as it was originally known or designated, before any later changes such as mergers, rebrandings, or renamings.
-
C.
railroadOrigin
Indicates that a railroad or rail line begins, originates, or has its starting point at a specified location or entity.
-
D.
railwayName
Indicates the name assigned to a specific railway or railway line in the relationship.
-
E.
aircraftNicknameOrigin
Indicates the source or reason from which an aircraft’s nickname is derived.
- F. None of above.
Provenance (3 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.