Triple
T38634669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Favela |
E937544
|
entity |
| Predicate | hasSniperLinesOfSight |
P191305
|
FINISHED |
| Object | limited long sightlines from rooftops |
—
|
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: limited long sightlines from rooftops | Statement: [Favela, hasSniperLinesOfSight, limited long sightlines from rooftops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSniperLinesOfSight Context triple: [Favela, hasSniperLinesOfSight, limited long sightlines from rooftops]
-
A.
hasSniper
Indicates that an entity possesses, is equipped with, or is accompanied by a sniper (e.g., a sniper weapon or sniper specialist).
-
B.
lineOfSight
Indicates that one entity has an unobstructed visual path to another entity.
-
C.
hasSight
Indicates that one entity possesses the ability or capacity to see or visually perceive.
-
D.
hasInclinationToLineOfSight
Indicates that one entity is oriented or directed in such a way that it tends toward having a line of sight to another entity or location.
-
E.
hasNightVision
Indicates that an entity possesses the ability to see effectively in low-light or dark conditions.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.