Triple
T5708193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Gordon, Marquess of Huntly |
E125836
|
entity |
| Predicate | boarsHeadsPosition |
P5132
|
FINISHED |
| Object | two and one |
—
|
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: two and one | Statement: [Arms of Gordon, Marquess of Huntly, boarsHeadsPosition, two and one]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boarsHeadsPosition Context triple: [Arms of Gordon, Marquess of Huntly, boarsHeadsPosition, two and one]
-
A.
positionHead
Indicates that one entity serves as the head or primary governing element in the positional or syntactic structure of another entity.
-
B.
positionB
chosen
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
C.
numberOfColossalHeads
Indicates the quantity of colossal heads associated with or attributed to a given subject.
-
D.
numberOfHeads
Indicates the count of heads that an entity possesses.
-
E.
crownPosition
Indicates the relative placement or orientation of a crown with respect to another object or reference point.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248ab6a88190be17bdc32c36e5cb |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.