Triple
T1116461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Head Light |
E11111
|
entity |
| Predicate | firstLit |
P5495
|
FINISHED |
| Object | 1791 |
—
|
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: 1791 | Statement: [Portland Head Light, firstLit, 1791]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLit Context triple: [Portland Head Light, firstLit, 1791]
-
A.
firstLitAt
chosen
Indicates that a particular object or location becomes illuminated or receives light for the first time at a specified time or under specified conditions.
-
B.
firstWork
Indicates that the related work is the earliest or initial work created, published, or produced by the entity in question.
-
C.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
D.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
E.
firstArticulatedIn
Indicates the time or context in which something was originally expressed, formulated, or clearly stated for the first time.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.