Triple
T712926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Ad Manager |
E14247
|
entity |
| Predicate | dataCenterLocation |
P19797
|
FINISHED |
| Object | global |
—
|
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: global | Statement: [Google Ad Manager, dataCenterLocation, global]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCenterLocation Context triple: [Google Ad Manager, dataCenterLocation, global]
-
A.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
B.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
C.
Global HubLocation
Indicates a location that serves as a central, primary hub for global operations, connections, or activities.
-
D.
recruitmentLocation
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
E.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a77e42e081909a6f2d1bfdc78ef0 |
completed | March 1, 2026, 8:54 p.m. |
Created at: March 1, 2026, 7:36 p.m.