Triple
T11717037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddard College |
E278525
|
entity |
| Predicate | originYearOfPredecessor |
P100949
|
FINISHED |
| Object | 1863 |
—
|
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: 1863 | Statement: [Goddard College, originYearOfPredecessor, 1863]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originYearOfPredecessor Context triple: [Goddard College, originYearOfPredecessor, 1863]
-
A.
cededYear
Indicates the year in which control, ownership, or sovereignty over something was formally transferred from one party to another.
-
B.
historicalEntityPredecessor
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
C.
predecessorAsEasternRuler
Indicates that one entity previously held the position of eastern ruler before another entity assumed that same role.
-
D.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
E.
predecessorAsDeFactoRuler
Indicates that one entity previously held actual ruling power over a domain or group, regardless of formal title, before another entity assumed that de facto control.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.