Triple
T3226271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin |
E67629
|
entity |
| Predicate | attitudeTowardSantiago |
P27747
|
FINISHED |
| Object | respectful |
—
|
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: respectful | Statement: [Martin, attitudeTowardSantiago, respectful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardSantiago Context triple: [Martin, attitudeTowardSantiago, respectful]
-
A.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
B.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
-
C.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
D.
hasUserAttitude
chosen
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
E.
distanceFromBuenosAires
Indicates the measured distance between a given entity’s location and the city of Buenos Aires.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb4cd3481908af8a2c9b6c0742d |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.