Triple
T924286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Costa |
E19948
|
entity |
| Predicate | startTime (Mayor of Lisbon) |
P17454
|
FINISHED |
| Object | 2007-07-01 |
—
|
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: 2007-07-01 | Statement: [António Costa, startTime (Mayor of Lisbon), 2007-07-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Mayor of Lisbon) Context triple: [António Costa, startTime (Mayor of Lisbon), 2007-07-01]
-
A.
mayoralTermStart
chosen
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
B.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
-
C.
officeStartForPrimeMinisterOfPortugal
Indicates the date or event marking when an individual begins their term in office as the Prime Minister of Portugal.
-
D.
startTimeAsRepresentative
Indicates the time at which an entity begins serving or acting in a representative capacity.
-
E.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.