Triple
T19040810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States House delegation from Maine |
E465994
|
entity |
| Predicate | firstSeatedAfterStatehood |
P133664
|
FINISHED |
| Object | 1821 |
—
|
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: 1821 | Statement: [United States House delegation from Maine, firstSeatedAfterStatehood, 1821]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeatedAfterStatehood Context triple: [United States House delegation from Maine, firstSeatedAfterStatehood, 1821]
-
A.
firstConstitutedIn
Indicates the time or context in which an entity (such as an organization, body, or structure) was originally formed or formally established.
-
B.
firstSeatsWonYear
Indicates the year in which an entity first won one or more seats (e.g., in an election or representative body).
-
C.
firstSessionHeldIn
Indicates that the initial or inaugural session of an event, activity, or process took place in a specified location or context.
-
D.
officeHoldersSitOn
Indicates that certain office holders occupy seats or positions on a specific body, committee, or governing entity.
-
E.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80054c88190a9d3a49aed504235 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8f6f7c8190af645bf08823ee2b |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.