Triple
T34716976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Armstrong |
E1000803
|
entity |
| Predicate | honoraryFreedomOf |
P181534
|
FINISHED |
| Object | Langholm |
—
|
NE NERFINISHED |
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: Langholm | Statement: [Neil Armstrong, honoraryFreedomOf, Langholm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoraryFreedomOf Context triple: [Neil Armstrong, honoraryFreedomOf, Langholm]
-
A.
honoraryUse
Indicates that one entity is being referenced or addressed in an honorary or respectful manner, rather than in a literal or ordinary usage.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
grantedHonor
Indicates that one entity has formally bestowed an honor, award, or distinction upon another entity.
-
D.
honoraryDistinction
Indicates that an entity has received a special honor, title, or distinction in recognition of merit, without necessarily conferring the usual formal status or responsibilities.
-
E.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.