Triple
T23787081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayo |
E587981
|
entity |
| Predicate | reconnectsWith |
P153574
|
FINISHED |
| Object | land |
—
|
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: land | Statement: [Tayo, reconnectsWith, land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconnectsWith Context triple: [Tayo, reconnectsWith, land]
-
A.
connectsWithin
Indicates that one entity establishes a connection or link between elements that lie inside the bounds or scope of another entity.
-
B.
re-establishedAfter
Indicates that a relationship or state was previously ended or inactive and then brought back into effect following a specified event or time.
-
C.
laterRetconnedAs
Indicates that an earlier element in a narrative or canon was subsequently redefined, replaced, or explained away by a later retcon as being something else.
-
D.
reconciledWith
Indicates that two previously conflicting or estranged entities have resolved their differences and restored a state of agreement or harmony with each other.
-
E.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6321c5c819084db8f9ef0946326 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:17 p.m.