Triple
T35062568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri, Count of Chambord |
E1011632
|
entity |
| Predicate | supportedFlag |
P206825
|
FINISHED |
| Object | white Bourbon flag with fleur-de-lis |
E640923
|
NE 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: white Bourbon flag with fleur-de-lis | Statement: [Henri, Count of Chambord, supportedFlag, white Bourbon flag with fleur-de-lis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedFlag Context triple: [Henri, Count of Chambord, supportedFlag, white Bourbon flag with fleur-de-lis]
-
A.
supportedAfter
Indicates that one entity provided support to another only after a specified event, time, or condition had occurred.
-
B.
supportedRight
Indicates that one entity endorsed, upheld, or actively backed the right or entitlement held by another entity.
-
C.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
-
D.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
- F. None of above. chosen
Provenance (5 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37c64036608190bc1311956b4f1572 |
completed | June 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.