Triple
T8015770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Philadelphia |
E186610
|
entity |
| Predicate | earlyRole |
P80578
|
FINISHED |
| Object | major port city |
—
|
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: major port city | Statement: [History of Philadelphia, earlyRole, major port city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyRole Context triple: [History of Philadelphia, earlyRole, major port city]
-
A.
earlyOccupation
Indicates that an entity held a particular occupation or job during an early stage of its life or career.
-
B.
laterPrimaryRole
Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
-
C.
earlyTraining
Indicates that an entity receives or provides training at an early stage relative to a process, development period, or typical timeline.
-
D.
playedEarlyYearsOf
Indicates that one entity portrayed or acted as the younger/early-life version of another entity in a performance or production.
-
E.
earlyPhase
Indicates that the related process, project, or development is in its initial or beginning stage.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df37a00819088780e5461bc5b41 |
completed | March 31, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:20 p.m.