Triple
T2347890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nauset Light |
E45174
|
entity |
| Predicate | yearFirstConstructed |
P19392
|
FINISHED |
| Object | 1877 |
—
|
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: 1877 | Statement: [Nauset Light, yearFirstConstructed, 1877]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFirstConstructed Context triple: [Nauset Light, yearFirstConstructed, 1877]
-
A.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
B.
yearBuilt
chosen
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
C.
eraOfMajorConstruction
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
-
D.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
E.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.