Triple
T258124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chestnut Street (Philadelphia) |
E5480
|
entity |
| Predicate | isLinedWith |
P10266
|
FINISHED |
| Object | shops |
—
|
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: shops | Statement: [Chestnut Street (Philadelphia), isLinedWith, shops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinedWith Context triple: [Chestnut Street (Philadelphia), isLinedWith, shops]
-
A.
containsLine
Indicates that one entity includes or encloses a specific line within its spatial or structural extent.
-
B.
hasNumberOfLines
Indicates the relationship that specifies how many lines are associated with a given entity.
-
C.
alignsWith
Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
-
D.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
-
E.
mantlingLined
Indicates that the inner surface of a heraldic mantling is lined with a specified material, color, or pattern.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f9163f881909232f8aea502cf80 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.