Triple
T903772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Tramway |
E19501
|
entity |
| Predicate | hasInaugurationPeriod |
P20203
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Lisbon Tramway, hasInaugurationPeriod, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInaugurationPeriod Context triple: [Lisbon Tramway, hasInaugurationPeriod, late 19th century]
-
A.
termLengthCondition
Indicates a condition or constraint specifying the required or allowed duration/length of a term (such as a contract, agreement, or period).
-
B.
allowsImmediatePresidentialReelection
Indicates that a system, rule, or provision permits a president to run for and assume a consecutive subsequent term without any intervening gap in office.
-
C.
inauguralHolder
Indicates that the subject is the first person or entity to hold a particular position, title, office, or role.
-
D.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
E.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.