Triple
T36804838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Montfort-l’Amaury |
E909418
|
entity |
| Predicate | lionTailType |
P61164
|
FINISHED |
| Object | queue fourchée |
—
|
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: queue fourchée | Statement: [Arms of Montfort-l’Amaury, lionTailType, queue fourchée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lionTailType Context triple: [Arms of Montfort-l’Amaury, lionTailType, queue fourchée]
-
A.
hasTailShape
chosen
Indicates that an entity possesses a tail with a specific shape or form.
-
B.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
-
C.
lionCrowned
Indicates that an entity (typically a lion) is depicted or described as wearing a crown, symbolizing rulership, authority, or elevated status.
-
D.
tailCharacteristic
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
E.
snoutType
Indicates the type or form of an entity’s snout in relation to its overall morphology.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.