Triple
T5538435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lampa |
E145225
|
entity |
| Predicate | adminCenter |
P3892
|
FINISHED |
| Object |
Lampa (town)
Lampa is a town in northern Chile known for its role as a local administrative and agricultural center within the Santiago Metropolitan Region.
|
E528116
|
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: Lampa (town) | Statement: [Lampa, adminCenter, Lampa (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lampa (town) Context triple: [Lampa, adminCenter, Lampa (town)]
-
A.
Kalampaka municipality
Kalampaka municipality is a local government area in central Greece best known for encompassing the town of Kalampaka and the nearby Meteora rock formations with their historic monasteries.
-
B.
Alampur
Alampur is a historic town in the Indian state of Telangana, renowned for its ancient Navabrahma temples and rich Chalukyan-era architecture.
-
C.
Lelkowo
Lelkowo is a small village in northern Poland located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
-
D.
Lasne
Lasne is a picturesque, affluent municipality in Walloon Brabant, Belgium, known for its rural character and high quality of life.
-
E.
Lakinsk
Lakinsk is a small industrial town in western Russia, located in Vladimir Oblast east of Moscow.
- 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: Lampa (town) Triple: [Lampa, adminCenter, Lampa (town)]
Generated description
Lampa is a town in northern Chile known for its role as a local administrative and agricultural center within the Santiago Metropolitan Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lampa (town) Target entity description: Lampa is a town in northern Chile known for its role as a local administrative and agricultural center within the Santiago Metropolitan Region.
-
A.
Kalampaka municipality
Kalampaka municipality is a local government area in central Greece best known for encompassing the town of Kalampaka and the nearby Meteora rock formations with their historic monasteries.
-
B.
Alampur
Alampur is a historic town in the Indian state of Telangana, renowned for its ancient Navabrahma temples and rich Chalukyan-era architecture.
-
C.
Lelkowo
Lelkowo is a small village in northern Poland located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
-
D.
Lasne
Lasne is a picturesque, affluent municipality in Walloon Brabant, Belgium, known for its rural character and high quality of life.
-
E.
Lakinsk
Lakinsk is a small industrial town in western Russia, located in Vladimir Oblast east of Moscow.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb2fe488190808e02ce5aabb2ad |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02817cb04819088df72950c791144 |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c033df2c7881909660eb931908318c |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c034640cd081909b44ff23e9005e57 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:35 p.m.