Triple
T6424634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia La Fama |
E128026
|
entity |
| Predicate | hasSocioSpatialRole |
P69710
|
FINISHED |
| Object | residential area within Tlalpan |
—
|
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: residential area within Tlalpan | Statement: [Colonia La Fama, hasSocioSpatialRole, residential area within Tlalpan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocioSpatialRole Context triple: [Colonia La Fama, hasSocioSpatialRole, residential area within Tlalpan]
-
A.
hasLocationRole
chosen
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
B.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
C.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
hasSubrole
Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
-
E.
hasSocialPosition
Indicates that an entity occupies or is assigned a particular social status, role, or rank within a social structure or hierarchy.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.