Triple
T9235469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tree of Peace |
E221924
|
entity |
| Predicate | locationSymbolic |
P87716
|
FINISHED |
| Object | territory of the Haudenosaunee |
—
|
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: territory of the Haudenosaunee | Statement: [Tree of Peace, locationSymbolic, territory of the Haudenosaunee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationSymbolic Context triple: [Tree of Peace, locationSymbolic, territory of the Haudenosaunee]
-
A.
mapLocation
Indicates a relationship where an entity is associated with a specific position or area on a map.
-
B.
locationOnSquare
Indicates that one entity is positioned on a specific square region or cell within a larger spatial grid or board.
-
C.
locationFound
Indicates that a particular entity is located or discovered at a specific place or position.
-
D.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
-
E.
locationSignedNear
Indicates that an entity’s location is in close physical proximity to another specified place or reference point.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09d42488190b8ccb9c4b62fdda8 |
completed | April 1, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:29 p.m.