Triple
T36896097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Square René Viviani |
E911891
|
entity |
| Predicate | hasOldestTreeClaim |
P186738
|
FINISHED |
| Object | one of the oldest trees in Paris |
—
|
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: one of the oldest trees in Paris | Statement: [Square René Viviani, hasOldestTreeClaim, one of the oldest trees in Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOldestTreeClaim Context triple: [Square René Viviani, hasOldestTreeClaim, one of the oldest trees in Paris]
-
A.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
B.
hasOldestUnit
Indicates that one entity possesses or is associated with another entity that is the oldest unit within a specified group or hierarchy.
-
C.
hasOlderSelfIn
Indicates that an entity is related to another entity that represents its older version or state within a given context.
-
D.
isOldestMintIn
Indicates that the subject mint is the most ancient or earliest-established mint within the specified location or group.
-
E.
hasOldestIsland
Indicates that one entity possesses or is associated with the island that is the oldest among a specified set or group.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.