Triple
T1459421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chía |
E31475
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Cota
Cota is a municipality in the Cundinamarca department of Colombia, located near Bogotá on the Bogotá savanna.
|
E167578
|
NE FINISHED |
How this triple was built (4 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: Cota | Statement: [Chía, borderedBy, Cota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cota Context triple: [Chía, borderedBy, Cota]
-
A.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
B.
Jaruco
Jaruco is a municipality in western Cuba known for its historic town and the nearby Jaruco Escalante hills and parklands.
-
C.
Banastre
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
-
D.
Capiznon
Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
-
E.
Jandali
Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cota Triple: [Chía, borderedBy, Cota]
Generated description
Cota is a municipality in the Cundinamarca department of Colombia, located near Bogotá on the Bogotá savanna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cota Target entity description: Cota is a municipality in the Cundinamarca department of Colombia, located near Bogotá on the Bogotá savanna.
-
A.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
B.
Jaruco
Jaruco is a municipality in western Cuba known for its historic town and the nearby Jaruco Escalante hills and parklands.
-
C.
Banastre
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
-
D.
Capiznon
Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
-
E.
Jandali
Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
- F. None of above. chosen
Provenance (5 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59c1c288190be08064f2d351b2b |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e786a208190a57c4e1878c66517 |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0ee93c4c8190bd705e31d9492158 |
completed | March 8, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0fb331e881908455844135bb3208 |
completed | March 8, 2026, 5:57 a.m. |
Created at: March 1, 2026, 8 p.m.