Triple
T16710307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapinero |
E406089
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Emaús |
E477982
|
NE 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: Emaús | Statement: [Chapinero, hasPart, Emaús]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emaús Context triple: [Chapinero, hasPart, Emaús]
-
A.
Emmaus
chosen
Emmaus is a village mentioned in the New Testament as the place where the resurrected Jesus appeared to two of his disciples on the road from Jerusalem.
-
B.
Cenac
Cenac is the surname of American comedian, writer, and actor Wyatt Cenac, known for his work on "The Daily Show" and socially conscious comedy.
-
C.
Labarna
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
-
D.
Ermesinde
Ermesinde is a town in northern Portugal, near Porto, known as a residential and transport hub within the Porto metropolitan area.
-
E.
Caan
Caan is a surname most famously associated with American actor James Caan, known for his roles in films such as "The Godfather" and "Misery."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3865186b48190bb45a761f5cf1a83 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a739308190b4d645e096d1710b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.