Triple
T4472065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ape-man |
E98516
|
entity |
| Predicate | speciesOrigin |
P56740
|
FINISHED |
| Object | ape |
—
|
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: ape | Statement: [Ape-man, speciesOrigin, ape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesOrigin Context triple: [Ape-man, speciesOrigin, ape]
-
A.
placeOfOrigin
Indicates the location or source from which an entity originally comes or was created.
-
B.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
hasBreedOrigin
Indicates that an animal breed originates from or was first developed in a specified geographic location or cultural region.
-
D.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
-
E.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:35 p.m.