Triple
T10780776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Goa |
E254312
|
entity |
| Predicate | governorAfonsoDeAlbuquerqueArrived |
P95434
|
FINISHED |
| Object | 1510 |
—
|
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: 1510 | Statement: [Old Goa, governorAfonsoDeAlbuquerqueArrived, 1510]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorAfonsoDeAlbuquerqueArrived Context triple: [Old Goa, governorAfonsoDeAlbuquerqueArrived, 1510]
-
A.
startTimeAsAmbassadorToPortugal
Indicates the date and time when an individual began serving as an ambassador to Portugal.
-
B.
firstEuropeanLandingInIndiaBy
Indicates the person or group credited with making the earliest recorded European landing in India.
-
C.
firstEuropeanLandingDate
Indicates the date on which Europeans first arrived at or made landfall in a particular place.
-
D.
firstVoyageEndYear
Indicates the calendar year in which an entity’s first voyage or initial journey was completed or came to an end.
-
E.
grantedToPortugal
Indicates that a right, privilege, territory, or other benefit has been formally conferred or assigned to Portugal.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c48c488190a2b3162202b74726 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.