Triple
T7577284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetanurae |
E179390
|
entity |
| Predicate | timeOfLastAppearance |
P16814
|
FINISHED |
| Object | present |
—
|
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: present | Statement: [Tetanurae, timeOfLastAppearance, present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfLastAppearance Context triple: [Tetanurae, timeOfLastAppearance, present]
-
A.
lastAppearance
chosen
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
B.
lastSeenOn
Indicates the most recent time or date at which the subject entity was observed, detected, or recorded.
-
C.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
D.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
-
E.
lastUsedFor
Indicates that one entity was the most recent purpose, function, or application for which another entity was used.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94cdbec81909f2ba7ce04e49931 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.