Triple
T29520766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marché des Enfants Rouges |
E748926
|
entity |
| Predicate | isOldestCoveredMarketIn |
P166991
|
FINISHED |
| Object | Paris |
—
|
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: Paris | Statement: [Marché des Enfants Rouges, isOldestCoveredMarketIn, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestCoveredMarketIn Context triple: [Marché des Enfants Rouges, isOldestCoveredMarketIn, Paris]
-
A.
isOldestBankIn
Indicates that a bank is the most ancient or earliest-established bank within a specified location or region.
-
B.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
C.
isOldestOrderOf
Indicates that one order is the earliest or first created among a set of related orders for a given context or entity.
-
D.
isOldestMintIn
Indicates that the subject mint is the most ancient or earliest-established mint within the specified location or group.
-
E.
hasOldestUnit
Indicates that one entity possesses or is associated with another entity that is the oldest unit within a specified group or hierarchy.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c98a0988190a56084c196e39c13 |
completed | May 2, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:41 p.m.