Triple
T35877165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bullens Road |
E1037397
|
entity |
| Predicate | hasStandNamedAfterIt |
P94429
|
FINISHED |
| Object | Bullens Road Stand |
—
|
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: Bullens Road Stand | Statement: [Bullens Road, hasStandNamedAfterIt, Bullens Road Stand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandNamedAfterIt Context triple: [Bullens Road, hasStandNamedAfterIt, Bullens Road Stand]
-
A.
hasNamedAfterPerson
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
B.
hasPrincipleNamedAfter
Indicates that an entity has a principle, rule, or law that is named after a specified entity.
-
C.
hasNameGivenTo
chosen
Indicates that one entity is the name that has been assigned or given to another entity.
-
D.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on another entity.
-
E.
hasEarlierNamesake
Indicates that an entity shares its name with another entity that existed earlier in time.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: May 3, 2026, 4:06 p.m.