Triple
T1257051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British occupation of Philadelphia |
E12416
|
entity |
| Predicate | dateCaptured |
P5050
|
FINISHED |
| Object | 1777-09-26 |
—
|
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: 1777-09-26 | Statement: [British occupation of Philadelphia, dateCaptured, 1777-09-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateCaptured Context triple: [British occupation of Philadelphia, dateCaptured, 1777-09-26]
-
A.
capturedAt
Indicates the specific time or moment at which an entity was captured, recorded, or taken.
-
B.
capturedYear
chosen
Indicates the year in which an entity was captured or taken into custody.
-
C.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
D.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
-
E.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfa8cfa08190ac49c437a94a843c |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.