Triple
T37620657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenchtown neighborhood |
E936058
|
entity |
| Predicate | hasTypeOfHistory |
P99136
|
FINISHED |
| Object | civil rights movement history |
—
|
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: civil rights movement history | Statement: [Frenchtown neighborhood, hasTypeOfHistory, civil rights movement history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfHistory Context triple: [Frenchtown neighborhood, hasTypeOfHistory, civil rights movement history]
-
A.
hasTypeHistory
Indicates that an entity is associated with a record or sequence of its past and present types or classifications over time.
-
B.
hasHistoryIn
chosen
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
C.
hasHistoryWith
Indicates that there is a prior relationship, interaction, or shared past between the entities.
-
D.
hasHistoricType
Indicates that an entity is associated with a specific historical classification, category, or type it held in the past.
-
E.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: May 3, 2026, 4:18 p.m.