Triple
T33798887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micklethwaite |
E866154
|
entity |
| Predicate | hasLikelyMeaning |
P10718
|
FINISHED |
| Object | large clearing |
—
|
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: large clearing | Statement: [Micklethwaite, hasLikelyMeaning, large clearing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLikelyMeaning Context triple: [Micklethwaite, hasLikelyMeaning, large clearing]
-
A.
possibleMeaning
chosen
Indicates that something may plausibly represent, signify, or be interpreted as a particular meaning or sense.
-
B.
hasMeaningViaPatrick
Indicates that something possesses or conveys its meaning specifically through Patrick as the interpretive or mediating agent.
-
C.
hasMultipleMeanings
Indicates that a term, symbol, or expression is associated with more than one distinct meaning or interpretation.
-
D.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
E.
hasFullyKnownMeaning
Indicates that the meaning of one entity is completely and unambiguously understood or specified in relation to another.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 1, 2026, 1:46 a.m.