Triple
T35723453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacalia |
E1032543
|
entity |
| Predicate | hasHeadMarkings |
P195164
|
FINISHED |
| Object | pair of eye-like ocelli behind each eye |
—
|
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: pair of eye-like ocelli behind each eye | Statement: [Sacalia, hasHeadMarkings, pair of eye-like ocelli behind each eye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadMarkings Context triple: [Sacalia, hasHeadMarkings, pair of eye-like ocelli behind each eye]
-
A.
hasFieldMarkingsFor
Indicates that one entity includes or displays field markings that are intended or suitable for use by another entity.
-
B.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
C.
areHeadMarking
Indicates that in a grammatical construction, agreement or indexing of participants is marked on the head element (e.g., verb, noun) rather than on its dependents.
-
D.
eggMarkings
Indicates that one entity bears or displays specific markings or patterns on its eggs in relation to another entity or context.
-
E.
originalTailMarkings
Indicates that an entity possesses or is associated with the initial or native markings found on a tail, prior to any changes or modifications.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
| PDg | Predicate description generation | batch_69fda945e1e08190bf923fcd4d2c548a |
completed | May 8, 2026, 9:13 a.m. |
Created at: May 3, 2026, 4:05 p.m.