Triple
T5872740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beguine community |
E130555
|
entity |
| Predicate | housingForm |
P67334
|
FINISHED |
| Object | enclosed neighborhood |
—
|
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: enclosed neighborhood | Statement: [Beguine community, housingForm, enclosed neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingForm Context triple: [Beguine community, housingForm, enclosed neighborhood]
-
A.
homeFieldType
Indicates the type or category of field that serves as the primary or home venue associated with an entity.
-
B.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
-
C.
house1
Indicates that something is identified or classified as a house or dwelling.
-
D.
housesIcon
Indicates that one entity serves as the icon or symbolic graphical representation for another entity.
-
E.
houseInvolved
Indicates that a house plays a significant role or is directly implicated in the specified event, situation, or relationship.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0432f06fc8190bc047d52ffc30d59 |
completed | March 22, 2026, 7:29 p.m. |
Created at: March 22, 2026, 3:56 p.m.