Triple
T33013432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Portugal |
E844707
|
entity |
| Predicate | secondCreationStartTime |
P196008
|
FINISHED |
| Object | 1096 |
—
|
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: 1096 | Statement: [County of Portugal, secondCreationStartTime, 1096]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondCreationStartTime Context triple: [County of Portugal, secondCreationStartTime, 1096]
-
A.
secondCreationHolder
Indicates that an entity holds or possesses a secondary or subsequent creation associated with another entity or process.
-
B.
secondCreationStatus
Indicates the status or outcome of a second or subsequent creation event associated with an entity.
-
C.
secondCreationYear
Indicates the year in which an entity was created for the second time, such as after being recreated, relaunched, or re-established.
-
D.
secondRunStart
chosen
Indicates the point in time or event at which a second or subsequent execution, attempt, or iteration of a process begins.
-
E.
secondCreatedBy
Indicates that an entity was created by a second or subsequent creator, distinguishing this creator from the primary or original one.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 1, 2026, 1:23 a.m.