Triple
T2067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts |
E37
|
entity |
| Predicate | stateCapitalSince |
P334
|
FINISHED |
| Object | 1632 |
—
|
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: 1632 | Statement: [Massachusetts, stateCapitalSince, 1632]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateCapitalSince Context triple: [Massachusetts, stateCapitalSince, 1632]
-
A.
hasCapital
Indicates that a place or political entity has a specific city designated as its capital.
-
B.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
C.
federalDistrictCreatedBy
Indicates that a federal district was established or brought into existence through the action, decision, or authority of a specified creator (such as a government body, law, or decree).
-
D.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
E.
hasLieutenantGovernor
Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
- 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_69a22cde80848190b62c5f556b4d62ba |
completed | Feb. 27, 2026, 11:46 p.m. |
| NER | Named-entity recognition | batch_69a2346846608190b6b40d31f1dbd685 |
completed | Feb. 28, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69a233c396ec8190986608d07fb251d4 |
completed | Feb. 28, 2026, 12:16 a.m. |
| PDg | Predicate description generation | batch_69a2346794cc8190afce97b703903389 |
completed | Feb. 28, 2026, 12:18 a.m. |
Created at: Feb. 27, 2026, 11:48 p.m.